Machine Learning based Crop Prediction using Artificial Neural Network and Gradient Boosting Algorithm

Authors: Thanigai, S. Narmadha, Ayyadurai, M., Shankar, J. Guru

Source: 2026 6th International Conference on Inventive Computation and Information Technologies (ICICIT) Inventive Computation and Information Technologies (ICICIT), 2026 6th International Conference on. :1724-1729 Jul, 2026

Relation: 2026 6th International Conference on Inventive Computation and Information Technologies (ICICIT)

Stroke Detection Using Machine Learning: Gradient Boosting Optimized with Whale Optimization Algorithm

Authors: G, Roobini, R, Bhuvana, J, Deepika, M G, Jayanthi, A, Allwin Pon Suthers, L, Nafeez Ahmed

Source: 2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL) Sentiment Analysis and Deep Learning (ICSADL), 2026 5th International Conference on. :886-891 Feb, 2026

Relation: 2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL)

A Comparative Performance Analysis of Classical and Gradient Boosting Machine Learning Algorithms for Breast Cancer Prediction

Authors: Nanammal, V., J, Balaji Vasan R, T, Gopinath, E, Nishanth

Source: 2025 Tenth International Conference on Science Technology Engineering and Mathematics (ICONSTEM) Science Technology Engineering and Mathematics (ICONSTEM), 2025 Tenth International Conference on. :1-7 Nov, 2025

Relation: 2025 Tenth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)

Machine Learning Based Dynamic Pricing Model Using Gradient Boosting Algorithm

Authors: Ram, Ashmit, Meenakshi, Km, Gupta, Amardeep

Source: 2025 2nd International Conference on Advanced Computing and Emerging Technologies (ACET) Advanced Computing and Emerging Technologies (ACET), 2025 2nd International Conference on. :1-6 Nov, 2025

Relation: 2025 2nd International Conference on Advanced Computing and Emerging Technologies (ACET)

Precision Optimization of Agricultural Pesticide Application using Ensemble Machine Learning Algorithms

Authors: Yoganathan, A., Kumar, V. Sasi, Anitha, P., Geetha, R., Prakash, N., Loganathan, E.

Source: 2026 7th International Conference on Inventive Research in Computing Applications (ICIRCA) Inventive Research in Computing Applications (ICIRCA), 2026 7th International Conference on. :904-908 Jun, 2026

Relation: 2026 7th International Conference on Inventive Research in Computing Applications (ICIRCA)

Early Detection of Student Dropout Risk via Hybrid Deep Learning and Gradient Boosting Algorithms

Authors: Rajput, Vaibhav, Singh, Aryan, Gupta, Subhash Chand

Source: 2025 International Conference on Engineering, Technology & Management (ICETM) Engineering, Technology & Management (ICETM), 2025 International Conference on. :1-6 May, 2025

Relation: 2025 International Conference on Engineering, Technology & Management (ICETM)

Development and validation of a machine learning model for colorectal cancer status classification using NHANES data: A cross-sectional study.

Authors: Chen J; Department of Medical Imaging, Lianjiang County General Hospital, Fuzhou, China.

Source: Medicine [Medicine (Baltimore)] 2026 Jun 05; Vol. 105 (23), pp. e49114.

Publication Type: Journal Article; Validation Study

Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985248R Publication Model: Print Cited Medium: Internet ISSN: 1536-5964 (Electronic) Linking ISSN: 00257974 NLM ISO Abbreviation: Medicine (Baltimore) Subsets: MEDLINE

MeSH Terms: Colorectal Neoplasms*/epidemiology , Colorectal Neoplasms*/classification , Colorectal Neoplasms*/diagnosis , Boosting Machine Learning Algorithms*, United States/epidemiology ; Aged ; Female ; Humans ; Male ; Middle Aged ; Case-Control Studies ; Classification Algorithms ; Cross-Sectional Studies ; Logistic Models ; Nutrition Surveys ; Predictive Learning Models ; Random Forest ; Support Vector Machine

Triage Level Prediction Using Machine Learning with Tree-Based Gradient Boosting Algorithms

Authors: Moya-Carvajal, Jonathan, Tirado, Felipe, Lopez-Cortes, Xaviera A., Silva, Ana Maria Carvajal

Source: 2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2025 IEEE CHILEAN Conference on. :1-6 Oct, 2025

Relation: 2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

Smart Grid Security Attack Detection Using XG Boosting Combined with Genetic Algorithm

Authors: Akhila, Badavath, Inala, Krishna Pavan, Manojkumar, Rampelli

Source: 2026 International Conference on Electrical and Electronics for Sustainable Innovations (ICEESI) Electrical and Electronics for Sustainable Innovations (ICEESI), 2026 International Conference on. :1-5 Mar, 2026

Relation: 2026 International Conference on Electrical and Electronics for Sustainable Innovations (ICEESI)

Soil Shear Strength Prediction Using Genetic-Optimized Boosting Machine Learning Models

Authors: Ghadami, Mohammadreza, Noorzad, Ali, Mohammadnezhad, Hamid

Source: 2026 International Interdisciplinary Conference on Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI) Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI), 2026 International Interdisciplinary Conference on. :1-6 May, 2026

Relation: 2026 International Interdisciplinary Conference on Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI)

A Comparative Analysis of Traditional Machine Learning, Deep Learning and Boosting Algorithms on Phishing URL Detection

Authors: Ashok, Arvind, Rathis, Dhiksha, Raghavendra, Richa, Umadevi, V

Source: 2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI) Computer Vision and Machine Intelligence (CVMI), 2024 IEEE International Conference on. :1-6 Oct, 2024

Relation: 2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)

Accuracy and Robustness of Machine Learning Algorithms in Stroke Prediction

Authors: Mahjoubi, Mohamed Amine, Alouani, Zakaria, El-Ibrahimi, Abdeljalil, Bouqentar, Mohammed Amine, Bouchaib, Cherradi, Raihani, Abdelhadi

Source: 2026 6th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Innovative Research in Applied Science, Engineering and Technology (IRASET), 2026 6th International Conference on. :1-6 May, 2026

Relation: 2026 6th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)

Hybrid Transformer and Ensemble Boosting-based Deep Learning Model for Accurate Brain Stroke Prediction

Authors: Inbavalli, A., Adhitya, K., Easwaran, S. Abirama, Balaji, M., Sultana, G. Nashiha, Shriram, C.

Source: 2026 6th International Conference on Pervasive Computing and Social Networking (ICPCSN) Pervasive Computing and Social Networking (ICPCSN), 2026 6th International Conference on. :323-328 May, 2026

Relation: 2026 6th International Conference on Pervasive Computing and Social Networking (ICPCSN)

Exploring Quantum Machine Learning Algorithms for Enhanced Data Classification and Clustering in Complex Systems - Integration with Gradient Boosting and K-means for Improved Performance

Authors: Babu, M., Arun, M., Pushparani, S., Muthukrishnan, A., Poongavanam, N.

Source: 2024 International Conference on Cybernation and Computation (CYBERCOM) Cybernation and Computation (CYBERCOM), 2024 International Conference on. :660-664 Nov, 2024

Relation: 2024 International Conference on Cybernation and Computation (CYBERCOM)

Optimizing Cardiovascular Diseases Detection Through Advanced Gradient Boosting Algorithms: A Comprehensive Analysis Using Real-World Medical Dataset

Authors: Kadir, Kazi Hasibul, Golder, Sourav, Mahmud, Md. Riaz, Dey, Joy Kumar, Bhadra, Brishti, Mondal, Bidarva

Source: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 2026 IEEE 2nd International Conference on. :1-6 Apr, 2026

Relation: 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)

Evaluating machine learning algorithms for accurate prediction of yearling weight in Magra sheep.

Authors: Jat N; Animal Genetics and Breeding Department, College of Veterinary and Animal Science, Rajasthan University of Veterinary and Animal Sciences, Bikaner, 334001, India. nitesh.bana78@gmail.com., Kumar V; Animal Genetics and Breeding Department, College of Veterinary and Animal Science, Rajasthan University of Veterinary and Animal Sciences, Bikaner, 334001, India., Chopra A; Animal Genetics and Breeding Department, College of Veterinary and Animal Science, Rajasthan University of Veterinary and Animal Sciences, Bikaner, 334001, India., Lehga RA; Animal Genetics and Breeding Department, College of Veterinary and Animal Science, Rajasthan University of Veterinary and Animal Sciences, Bikaner, 334001, India., Pannu U; Animal Genetics and Breeding Department, College of Veterinary and Animal Science, Rajasthan University of Veterinary and Animal Sciences, Bikaner, 334001, India.

Source: Tropical animal health and production [Trop Anim Health Prod] 2026 Jul 10; Vol. 58 (6). Date of Electronic Publication: 2026 Jul 10.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 1277355 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-7438 (Electronic) Linking ISSN: 00494747 NLM ISO Abbreviation: Trop Anim Health Prod Subsets: MEDLINE

MeSH Terms: Sheep, Domestic*/physiology , Sheep, Domestic*/growth & development , Body Weight* , Machine Learning*, Sheep/physiology ; Animals ; Prediction Algorithms ; Female ; Boosting Machine Learning Algorithms ; Predictive Learning Models ; Bayes Theorem ; Support Vector Machine ; Male ; Linear Models ; Neural Networks, Computer ; Birth Weight

Optimized Soft Skill Prediction Among Computer Science Students Using Particle Swarm Optimization in Boosting Algorithms

Authors: Nizar, Jasmin, Sharmila, R., U., Jaseena K.

Source: 2026 International Conference on Innovative Trends in Information Technology (ICITIIT) Innovative Trends in Information Technology (ICITIIT), 2026 International Conference on. :1-8 Mar, 2026

Relation: 2026 International Conference on Innovative Trends in Information Technology (ICITIIT)

Development of Multistage Machine Learning Classifier using Decision Trees and Boosting Algorithms

Authors: Nair, Anjali Sureshkumar, Nitnaware, Prashant

Source: 2024 Asian Conference on Intelligent Technologies (ACOIT) Intelligent Technologies (ACOIT), 2024 Asian Conference on. :1-6 Sep, 2024

Relation: 2024 Asian Conference on Intelligent Technologies (ACOIT)

An ensemble machine learning approach for predicting anemia among under-five children in malaria-endemic sub-Saharan African countries.

Authors: Tekeba B; Department of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. berishboss7@gmail.com., Baykemagn ND; Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia., Mengesha AT; Department of Information Science, College of Informatics, University of Gondar, Gondar, Ethiopia., Mengstie MA; Department of Information Science, College of Informatics, University of Gondar, Gondar, Ethiopia.

Source: Infectious diseases of poverty [Infect Dis Poverty] 2026 Jul 13; Vol. 15 (1). Date of Electronic Publication: 2026 Jul 13.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101606645 Publication Model: Electronic Cited Medium: Internet ISSN: 2049-9957 (Electronic) Linking ISSN: 20499957 NLM ISO Abbreviation: Infect Dis Poverty Subsets: MEDLINE

MeSH Terms: Anemia*/epidemiology , Anemia*/diagnosis , Anemia*/etiology , Malaria*/epidemiology , Malaria*/complications , Boosting Machine Learning Algorithms*, Africa South of the Sahara/epidemiology ; Child, Preschool ; Female ; Humans ; Infant ; Male ; Classification Algorithms ; Cross-Sectional Studies ; Predictive Learning Models ; Random Forest

Prediction of Blasting Efficiency in Mining: A Comprehensive Evaluation with Boosting-Based Machine Learning Algorithms

Authors: Cihan Bayraktar, Hasan Eker, Demet Demir Şahin

Source: Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 9:775-799