Spatiotemporal multimodal emotion recognition using Temporal video sequences and pose features for child emotion classification.

Authors: Sangeetha SKB; Postdoctoral Researcher, Lincoln University College, Petaling Jaya, Malaysia., Boddu RSK; CSE (AI&ML) Department, Raghu Engineering College, Visakhapatnam, India., Bhaumik A; President, Lincoln University College, Petaling Jaya, Malaysia., Mathivanan SK; School of Computing Science and Engineering, Galgotias University, Greater Noida, 203201, India., Moorthy U; School of Computer Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India. m.usha@manipal.edu.

Source: Scientific reports [Sci Rep] 2025 Nov 25; Vol. 15 (1), pp. 41825. Date of Electronic Publication: 2025 Nov 25.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Emotions*/physiology , Emotions*/classification , Video Recording*, Humans ; Child ; Facial Expression ; Female ; Male ; Algorithms

A comprehensive hybrid model: Combining bioinspired optimization and deep learning for Alzheimer's disease identification.

Authors: Dakshinamoorthy C; Department of Computer Science and Engineering, SRM Institute of Science and Technology, Tiruchirappalli, Tamil Nadu, India, Chennai. Electronic address: jaishreemmkdevi@gmail.com., S P; Department of Radiology, Mayo Clinic, Florida, USA. Electronic address: Srinivasagam.prabha@mayo.edu., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India. Electronic address: sandeepkumarm322@gmail.com., Singh M; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India. Electronic address: drmanu1236@gmail.com., Mallik S; Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, 02115, USA; Department of Pharmacology & Toxicology, The University of Arizona, Tucson, AZ, 85721, USA. Electronic address: smallik@arizona.edu.

Source: Computers in biology and medicine [Comput Biol Med] 2025 Sep; Vol. 195, pp. 110654. Date of Electronic Publication: 2025 Jun 27.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE

MeSH Terms: Alzheimer Disease*/diagnostic imaging , Deep Learning* , Brain*/diagnostic imaging , Magnetic Resonance Imaging*, Humans ; Male ; Female ; Aged

Robust multiclass classification of crop leaf diseases using hybrid deep learning and Grad-CAM interpretability.

Authors: Murugesan S; Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India., Chinnadurai J; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Srinivasan S; Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089, Tamilnadu, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Chandan RR; Department of Computer Science, School of Management Sciences (SMS), Varanasi, 221011, UP, India., Moorthy U; School of Computer Engineering, Manipal Institute of Technology, Bengaluru,, Manipal Academy of Higher Education, Manipal, India. m.usha@manipal.edu.

Source: Scientific reports [Sci Rep] 2025 Aug 15; Vol. 15 (1), pp. 29955. Date of Electronic Publication: 2025 Aug 15.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Deep Learning* , Plant Leaves*/microbiology , Plant Diseases*/classification , Crops, Agricultural*/microbiology, Solanum lycopersicum/microbiology ; Musa/microbiology

DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI.

Authors: Srinivasan S; Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089, India., Somasundharam L; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, 600062, India., Rajendran S; School of Computing Science Engineering and Artificial Intelligence, VIT Bhopal University, Sehore, Madhya pradesh, India., Singh VP; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Moorthy U; School of Computer Engineering, Manipal Institute of Technology, Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. m.usha@manipal.edu.

Source: BMC plant biology [BMC Plant Biol] 2025 Jul 28; Vol. 25 (1), pp. 965. Date of Electronic Publication: 2025 Jul 28.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967807 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2229 (Electronic) Linking ISSN: 14712229 NLM ISO Abbreviation: BMC Plant Biol Subsets: MEDLINE

MeSH Terms: Deep Learning* , Fruit*/microbiology , Plant Diseases*/classification, Neural Networks, Computer ; Malus

Corrigendum to "Leveraging ANFIS with Adam and PSO optimizers for Parkinson's disease" [Heliyon Volume 10, Issue 9, May 15, 2024, Article e30241].

Authors: Pasha A; Department of Computer Science and Engineering, REVA University, Bengaluru, India., Ahmed ST; Indian Institute of Technology Hyderabad, India., Painam RK; Department of ECE, Kallam Haranadhareddy Institute of Technology, Guntur, Andhra Pradesh, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., P K; Department of Computer Applications, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India., Mallik S; Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, 02115, USA.; Department of Pharmacology & Toxicology, The University of Arizona, Tucson, AZ, USA., Qin H; Department of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN, 37403, USA.

Source: Heliyon [Heliyon] 2025 Jun 14; Vol. 11 (12), pp. e43492. Date of Electronic Publication: 2025 Jun 14 (Print Publication: 2025).

Publication Type: Published Erratum

Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101672560 Publication Model: eCollection Cited Medium: Print ISSN: 2405-8440 (Print) Linking ISSN: 24058440 NLM ISO Abbreviation: Heliyon Subsets: PubMed not MEDLINE

Sugarcane leaf disease classification using deep neural network approach.

Authors: Srinivasan S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India., Prabin SM; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Rajadurai H; School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway Kothrikalan, Sehore, 466114, India., Kulandaivelu S; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Shah MA; Department of Economics, Kardan University, Parwane Du, Kabul, 1001, Afghanistan. m.asif@kardan.edu.af.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144001, India. m.asif@kardan.edu.af.; Chitkara Centre for Research and Development, Chitkara University, Baddi, Himachal Pradesh, 174103, India. m.asif@kardan.edu.af.; Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India. m.asif@kardan.edu.af.

Source: BMC plant biology [BMC Plant Biol] 2025 Mar 04; Vol. 25 (1), pp. 282. Date of Electronic Publication: 2025 Mar 04.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967807 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2229 (Electronic) Linking ISSN: 14712229 NLM ISO Abbreviation: BMC Plant Biol Subsets: MEDLINE

MeSH Terms: Saccharum*/microbiology , Plant Leaves*/microbiology , Neural Networks, Computer* , Deep Learning* , Plant Diseases*/classification

Robust CRW crops leaf disease detection and classification in agriculture using hybrid deep learning models.

Authors: Baiju BV; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Kirupanithi N; Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India., Srinivasan S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 600062, India., Kapoor A; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Shah MA; Department of Economics, Kardan University, Parwane Du, 1001, Kabul, Afghanistan. m.asif@kardan.edu.af.; Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Panjab, India. m.asif@kardan.edu.af.; Chitkara Centre for Research and Development, Chitkara University, Baddi, Himachal Pradesh, 140401, India. m.asif@kardan.edu.af.; Division of Research and Development, Lovely Professional University, Phagwara, Panjab, 140401, India. m.asif@kardan.edu.af.

Source: Plant methods [Plant Methods] 2025 Feb 13; Vol. 21 (1), pp. 18. Date of Electronic Publication: 2025 Feb 13.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101245798 Publication Model: Electronic Cited Medium: Print ISSN: 1746-4811 (Print) Linking ISSN: 17464811 NLM ISO Abbreviation: Plant Methods Subsets: PubMed not MEDLINE

A multi-modal geospatial-temporal LSTM based deep learning framework for predictive modeling of urban mobility patterns.

Authors: S K B S; Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, 203201, India., Rajadurai H; School of Computing Science and Engineering, VIT Bhopal University, Bhopal-IndoreHighway Kothrikalan, Sehore, MP, India., Cho J; Department of Software Engineering & Division of Electronics and Information Engineering, Jeonbuk National University, Jeonju-si, Republic of Korea. chojh@jbnu.ac.kr., Easwaramoorthy SV; Department of Computing and Information Systems, Sunway University, 47500, Petaling Jaya, Selangor Darul Ehsan, Malaysia.

Source: Scientific reports [Sci Rep] 2024 Dec 30; Vol. 14 (1), pp. 31579. Date of Electronic Publication: 2024 Dec 30.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Efficient brain tumor grade classification using ensemble deep learning models.

Authors: M S; Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr, Sagunthala R&D Institute of Science and Technology, Chennai, India., Bv B; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, TamilNadu, India., D P; Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, India., S AK; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, TamilNadu, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Shah MA; Department of Economics, Kardan University, Parwane Du, Kabul, 1001, Afghanistan. m.asif@kardan.edu.af.; Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India. m.asif@kardan.edu.af.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144001, India. m.asif@kardan.edu.af.

Source: BMC medical imaging [BMC Med Imaging] 2024 Nov 01; Vol. 24 (1), pp. 297. Date of Electronic Publication: 2024 Nov 01.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE

MeSH Terms: Deep Learning* , Brain Neoplasms*/diagnostic imaging , Brain Neoplasms*/pathology , Brain Neoplasms*/classification , Magnetic Resonance Imaging*/methods , Neoplasm Grading*, Humans ; Algorithms ; Image Interpretation, Computer-Assisted/methods

Automated brain tumor diagnostics: Empowering neuro-oncology with deep learning-based MRI image analysis.

Authors: Gunasekaran S; Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India., Mercy Bai PS; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, India., Rajadurai H; School of Computing Science and Engineering, VIT Bhopal University, Sehore, India., Shivahare BD; School of Computer Science and Engineering, Galgotias University, Greater Noida, India., Shah MA; Faculty of Kebri Dehar University, Somali, Ethiopia.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, India.; Centre of Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India.

Source: PloS one [PLoS One] 2024 Aug 27; Vol. 19 (8), pp. e0306493. Date of Electronic Publication: 2024 Aug 27 (Print Publication: 2024).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Deep Learning* , Magnetic Resonance Imaging*/methods , Brain Neoplasms*/diagnostic imaging, Humans ; Image Processing, Computer-Assisted/methods ; Neural Networks, Computer ; Algorithms

Author Correction: An active learning machine technique based prediction of cardiovascular heart disease from UCI-repository database.

Authors: Srinivasan S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India., Gunasekaran S; Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India., Mathivanan SK; School of Computing Science and Engineering, Galgotias University, Greater Noida, 203201, India., M B BAM; School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India., Jayagopal P; School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India., Dalu GT; Department of Software Engineering, College of Computing and Informatics, Haramaya University, POB 138, Dire Dawa, Ethiopia. gemmachis.teshite@haramaya.edu.et.

Source: Scientific reports [Sci Rep] 2024 Jul 23; Vol. 14 (1), pp. 16905. Date of Electronic Publication: 2024 Jul 23.

Publication Type: Published Erratum

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Advancements in urban scene segmentation using deep learning and generative adversarial networks for accurate satellite image analysis.

Authors: Sangeetha SKB; Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, India., Sivakumar M; Department of Computer Science and Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha School of Engineering, Saveetha University, Chennai, Tamil Nadu, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, India., Rajadurai H; School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway Kothrikalan, Sehore, India., Karthikeyan P; Vellore Institute of Technology, School of Computer Science Engineering and Information Systems, Vellore, Tamil Nadu, India., Shah MA; Faculty of Kebri Dehar University, Somali, Ethiopia.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, India.; Chitkara University Institute of Engineering and Technology, Centre of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India.

Source: PloS one [PLoS One] 2024 Jul 18; Vol. 19 (7), pp. e0307187. Date of Electronic Publication: 2024 Jul 18 (Print Publication: 2024).

Publication Type: Journal Article

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Terms: Deep Learning* , Satellite Imagery*/methods , Image Processing, Computer-Assisted*/methods, Neural Networks, Computer ; Humans ; Algorithms

A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT.

Authors: R G; Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India., S M; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Shivahare BD; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Chandan RR; Department of Computer Science, School of Management Sciences, Varanasi, Uttar pradesh, 221011, India., Shah MA; Department of Economics, Kardan University, Parwane Du, 1001, Kabul, Afghanistan. m.asif@kardan.edu.af.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144001, India. m.asif@kardan.edu.af.; Centre of Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India. m.asif@kardan.edu.af.

Source: Scientific reports [Sci Rep] 2024 Jul 08; Vol. 14 (1), pp. 15661. Date of Electronic Publication: 2024 Jul 08.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Deep Learning* , Internet of Things*, Humans ; Monitoring, Physiologic/methods ; Wearable Electronic Devices ; Neural Networks, Computer ; Heart Rate ; Telemedicine ; Remote Sensing Technology/methods

Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach.

Authors: A G B; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 600062, India., Srinivasan S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 600062, India., D P; Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram , Chennai, India., P M; School of Electrical and Electronics Engineering, VIT Bhopal University, Bhopal, Indore Highway, Kothrikalan, Sehore, Madhya Pradesh, 466114, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Shah MA; Department of Economics, Kardan University, Parwan-e-Du, Kabul, 1001, Afghanistan. m.asif@kardan.edu.af.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144001, India. m.asif@kardan.edu.af.

Source: BMC medical imaging [BMC Med Imaging] 2024 Jun 17; Vol. 24 (1), pp. 147. Date of Electronic Publication: 2024 Jun 17.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE

MeSH Terms: Deep Learning* , Brain Neoplasms*/diagnostic imaging , Brain Neoplasms*/classification , Brain Neoplasms*/pathology, Humans ; Image Interpretation, Computer-Assisted/methods ; Magnetic Resonance Imaging/methods

Detection of Parkinson disease using multiclass machine learning approach.

Authors: Srinivasan S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 600062, India., Ramadass P; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 600062, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Panneer Selvam K; Department of Computer Applications, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India., Shivahare BD; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Shah MA; Department of Economics, Kabridahar University, Po Box 250, Kebri Dehar, Ethiopia. ohaasif@gmail.com.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144001, India. ohaasif@gmail.com.

Source: Scientific reports [Sci Rep] 2024 Jun 15; Vol. 14 (1), pp. 13813. Date of Electronic Publication: 2024 Jun 15.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Parkinson Disease*/diagnosis , Machine Learning*, Humans ; Male ; Female ; Middle Aged ; Aged ; Neural Networks, Computer ; Voice ; Deep Learning

Enhancing cervical cancer detection and robust classification through a fusion of deep learning models.

Authors: Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Francis D; Department of Electronics and Communication Engineering, PSNA College of Engineering and Technology, Dindigul, India., Srinivasan S; Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India., Khatavkar V; School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway Kothrikalan, Sehore, Madhya Pradesh, India., P K; Department of Computer Applications, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India., Shah MA; Kebri Dehar University, Kebri Dehar, Somali, 250, Ethiopia. drmohdasifshah@kdu.edu.et.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144001, India. drmohdasifshah@kdu.edu.et.

Source: Scientific reports [Sci Rep] 2024 May 11; Vol. 14 (1), pp. 10812. Date of Electronic Publication: 2024 May 11.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Uterine Cervical Neoplasms*/diagnosis , Uterine Cervical Neoplasms*/pathology , Deep Learning* , Early Detection of Cancer*/methods, Humans ; Female ; Neural Networks, Computer ; Algorithms ; Papanicolaou Test/methods ; Colposcopy/methods

Author Correction: Exploring fetal brain tumor glioblastoma symptom verification with self organizing maps and vulnerability data analysis.

Authors: Natarajan SK; School of Computer Science and Engineering, JAIN (Deemed-to-be University), Ramanagara, India., S J; Department of Information Technology, Guru Nanak Institute of Technology, Ibrahimpatnam, Hyderabad, Telangana, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, Uttar Pradesh, India., Rajadurai H; School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway Kothrikalan, Sehore, MP, India., M B BAM; School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Shah MA; Kebri Dehar University, Kebri Dehar, 250, Somali, Ethiopia. drmohdasifshah@kdu.edu.et.; Centre of Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India. drmohdasifshah@kdu.edu.et.; Division of Research and Development, Lovely Professional University, Phagwara, 144001, Punjab, India. drmohdasifshah@kdu.edu.et.

Source: Scientific reports [Sci Rep] 2024 Apr 26; Vol. 14 (1), pp. 9610. Date of Electronic Publication: 2024 Apr 26.

Publication Type: Published Erratum

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Leveraging ANFIS with Adam and PSO optimizers for Parkinson's disease.

Authors: Pasha A; Department of Computer Science and Engineering, REVA University, Bengaluru, India., Ahmed ST; Indian Institute of Technology Hyderabad, India., Painam RK; Department of ECE, Kallam Haranadhareddy Institute of Technology, Guntur, Andhra Pradesh, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., P K; Department of Computer Applications, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India., Mallik S; Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, 02115, USA.; Department of Pharmacology & Toxicology, The University of Arizona, Tucson, AZ, USA., Qin H; Department of Computer Science and Engineering, University of Tennessee at Chattanooga, Chattanooga, TN, 37403, USA.

Source: Heliyon [Heliyon] 2024 Apr 26; Vol. 10 (9), pp. e30241. Date of Electronic Publication: 2024 Apr 26 (Print Publication: 2024).

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101672560 Publication Model: eCollection Cited Medium: Print ISSN: 2405-8440 (Print) Linking ISSN: 24058440 NLM ISO Abbreviation: Heliyon Subsets: PubMed not MEDLINE

Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization.

Authors: K AK; School of Engineering, CMR University, Bengaluru, India., T Y S; School of Computer Science and Engineering, REVA University, Bengaluru, India., Ahmed ST; Department of Electrical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India. syed.edu.in@gmail.com., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India., Varadhan S; Department of Computer Applications, Dr. MGR Educational and Research Institute, Chennai, 600095, India., Shah MA; Kebri Dehar University, Kebri Dehar, Somali, 250, Ethiopia. drmohdasifshah@kdu.edu.et.; Division of Research and Development, Lovely Professional University, Phagwara, Punjab, 144001, India. drmohdasifshah@kdu.edu.et.

Source: Scientific reports [Sci Rep] 2024 Apr 24; Vol. 14 (1), pp. 9388. Date of Electronic Publication: 2024 Apr 24.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Skin Neoplasms*/diagnosis , Neural Networks, Computer* , Algorithms*, Humans ; Machine Learning

Exploring fetal brain tumor glioblastoma symptom verification with self organizing maps and vulnerability data analysis.

Authors: Natarajan SK; School of Computer Science and Engineering, JAIN (Deemed-to-be University), Ramanagara, India., S J; Department of Information Technology, Guru Nanak Institute of Technology, Ibrahimpatnam, Hyderabad, Telangana, India., Mathivanan SK; School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, Uttar Pradesh, India., Rajadurai H; School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway Kothrikalan, Sehore, MP, India., M B BAM; School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, India., Shah MA; Kebri Dehar University, Kebri Dehar, 250, Somali, Ethiopia. drmohdasifshah@kdu.edu.et.; Centre of Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India. drmohdasifshah@kdu.edu.et.; Division of Research and Development, Lovely Professional University, Phagwara, 144001, Punjab, India. drmohdasifshah@kdu.edu.et.

Source: Scientific reports [Sci Rep] 2024 Apr 16; Vol. 14 (1), pp. 8738. Date of Electronic Publication: 2024 Apr 16.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Glioblastoma*/diagnostic imaging , Brain Neoplasms*/pathology, Adult ; Child ; Humans ; Image Processing, Computer-Assisted/methods ; Brain/diagnostic imaging ; Brain/pathology ; Algorithms