Web-Based Real-Time Slouch Detection Using PoseNet and TensorFlow.js7

Συγγραφείς: R, Logeshwaran, M, Gokulakrishnan, Sindhuja, M.

Πηγή: 2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI) Data Intelligence and Cognitive Informatics (ICDICI), 2025 6th International Conference on. :1952-1957 Jul, 2025

Relation: 2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI)

Optimizing the Travel Planning Process Based on Personalization and Efficiency Using Artificial Intelligence and Political Sciences

Συγγραφείς: Bostan, Ion, Enescu, Madalin Ciprian, Bizon, Cristina Claudia

Πηγή: 2025 17th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) Electronics, Computers and Artificial Intelligence (ECAI), 2025 17th International Conference on. :1-7 Jun, 2025

Relation: 2025 17th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

EDITH: AI for Detecting Accident Through CCTV Using MobileNetV2 with WhatsApp-WebJS as an Auto Reporting System

Συγγραφείς: Beatrice, Ardelia, Kusuma, Christian Chandra, Utomo, Galang Nurbudi, Parmonangan, Ivan Halim, Diana

Πηγή: 2023 6th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Research of Information Technology and Intelligent Systems (ISRITI), 2023 6th International Seminar on. :70-75 Dec, 2023

Relation: 2023 6th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

SIGNSENSEI: ADVANCING UNIVERSAL COMMUNICATION THROUGH DEEP LEARNING

Συγγραφείς: Prabhjot Kaur, Anupama Kaushik, Apoorv Mohit, Aryan Anand, Jasneet Kaur Bhasin

Πηγή: Proceedings on Engineering Sciences, Vol 7, Iss 1, Pp 343-354 (2025)

Θεματικοί όροι: real time image analysis, tensorflow.js, sign language recognition, deep learning, TA1-2040, Engineering (General). Civil engineering (General)

Σύνδεσμος πρόσβασης: https://doaj.org/article/410b4cc026634a26b327a043a559ec25

Recognition and statistical method of cows rumination and eating behaviors based on Tensorflow.js

Συγγραφείς: Yu Zhang, Xiangting Li, Zhiqing Yang, Shaopeng Hu, Xiao Fu, Weizheng Shen

Πηγή: Information Processing in Agriculture, Vol 11, Iss 4, Pp 581-589 (2024)

Θεματικοί όροι: Agriculture (General), Tensorflow.js, Real-time analysis, Recognition of cow rumination, Edge computing, Information technology, T58.5-58.64, SSD MobileNet V2, S1-972

Σύνδεσμος πρόσβασης: https://doaj.org/article/519a30a2d4514b9bbf7dd2db0794bcd2

Perl eBook: Unleashing Machine Learning with TensorFlow.js in a Node.js and SQL Environment

Συγγραφείς: Nivethitha Devi, M.^Aff18, Jeyaprakash, N.^Aff18, Sanjay, R.^Aff18, Shashwat, B. R.^Aff18

Συνεισφορές: Rannenberg, Kai, Editor-in-Chief^Aff1, Soares Barbosa, Luís, Editorial Board Member^Aff2, Carette, Jacques, Editorial Board Member^Aff3, Tatnall, Arthur, Editorial Board Member^Aff4, Neuhold, Erich J., Editorial Board Member^Aff5, Stiller, Burkhard, Editorial Board Member^Aff6, Stettner, Lukasz, Editorial Board Member^Aff7, Pries-Heje, Jan, Editorial Board Member^Aff8, M. Davison, Robert, Editorial Board Member^Aff9, Rettberg, Achim, Editorial Board Member^Aff10, Furnell, Steven, Editorial Board Member^Aff11, Mercier-Laurent, Eunika, Editorial Board Member^{Aff12, Aff17}, Winckler, Marco, Editorial Board Member^Aff13, Malaka, Rainer, Editorial Board Member^Aff14, Chandrabose, Aravindan, editor^Aff15, Fernando, Xavier, editor^Aff16

Πηγή: Computer, Communication, and Signal Processing. Smart Solutions Towards SDG : 8th IFIP TC 12 International Conference, ICCCSP 2024, Chennai, India, March 20-22, 2024, Revised Selected Papers. 723:288-298

Implementation of Digital Image to Determine the Quality of Bali Beef Using a Web-Based CNN Algorithm

Συγγραφείς: Ulil Amri, Syafruddin Syafruddin, Abdul Latief

Πηγή: Inspiration, Vol 15, Iss 1, Pp 102-116 (2025)

Θεματικοί όροι: bali beef quality, convolutional neural network, tensorflow.js, digital image classification, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Περιγραφή αρχείου: electronic resource

Relation: https://ojs.unitama.ac.id/index.php/inspiration/article/view/102; https://doaj.org/toc/2088-6705; https://doaj.org/toc/2621-5608

Σύνδεσμος πρόσβασης: https://doaj.org/article/123d637004a4498dabac5298233d1ae6

WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy

Συγγραφείς: Lian, Zhuotao, Yang, Qinglin, Zeng, Qingkui, Su, Chunhua

Πηγή: ICC 2022 - IEEE International Conference on Communications Communications, ICC 2022 - IEEE International Conference on. :2071-2076 May, 2022

Relation: ICC 2022 - IEEE International Conference on Communications

Agro-Doc: Design and Implementation of an AI-Powered Web Platform for Plant Disease Detection

Συγγραφείς: Choudhary, Vipul

Θεματικοί όροι: Artificial intelligence, plant disease detection, convolutional neural networks, web application, TensorFlow.js, precision agriculture, transfer learning

In-Browser Attendance System using Face Recognition and Serverless Edge Computing

Συγγραφείς: Yadav, Deepak, Maniar, Sarthak, Sukhani, Krish, Devadkar, Kailas

Πηγή: 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT) Computing Communication and Networking Technologies (ICCCNT), 2021 12th International Conference on. :01-06 Jul, 2021

Relation: 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)

Teaching WebAR development with integrated machine learning: a methodology for immersive and intelligent educational experiences

Συγγραφείς: Serhiy O. Semerikov, Mykhailo V. Foki, Dmytro S. Shepiliev, Mykhailo M. Mintii, Iryna S. Mintii, Olena H. Kuzminska

Πηγή: Освітній вимір, Vol 10 (2024)

Θεματικοί όροι: machine learning, 4. Education, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, educational technology, 02 engineering and technology, WebAR, web-based augmented reality, TensorFlow.js, 0503 education, Teachable Machine, Education

Σύνδεσμος πρόσβασης: https://doaj.org/article/6c082f71ac464e9eb7783a9998b8f3b8

Design of Identity Recognition and Liveness Detection System for Mobile Phones

Συγγραφείς: Lee, Ding-Jia, Pan, Tse-Yu, Hu, Min-Chun

Πηγή: 2020 Indo – Taiwan 2nd International Conference on Computing, Analytics and Networks (Indo-Taiwan ICAN) Computing, Analytics and Networks (Indo-Taiwan ICAN), 2020 Indo – Taiwan 2nd International Conference on. :113-118 Feb, 2020

Relation: 2020 Indo-Taiwan 2nd International Conference on Computing, Analytics and Networks (Indo-Taiwan ICAN)

3D Scene Reconstruction for Real-Time Video Editing. A Performance Study Conducted on Web Browsers

Συγγραφείς: Vlad, Victor ^a, Buraga, Sabin Corneliu ^a

Πηγή: In Procedia Computer Science 2025 270:1185-1194

Web Front-End Realtime Face Recognition Based on TFJS

Συγγραφείς: Li, Chenyang, Li, Chunfang

Πηγή: 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2019 12th International Congress on. :1-5 Oct, 2019

Relation: 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

Neural Heist: Browser-Based Exfiltration of Client-Side Machine Learning Models via Native APIs

Συγγραφείς: Thirumaran, Darshan

Θεματικοί όροι: Client-side machine learning, Model exfiltration, Browser security, TensorFlow.js, Web Neural Network API, HTML5 Canvas steganography, Machine learning privacy, Deep learning security, Web-based AI malware, Exfiltration attacks

Relation: https://zenodo.org/records/17116153; oai:zenodo.org:17116153; https://doi.org/10.5281/zenodo.17116153

Διαθεσιμότητα: https://doi.org/10.5281/zenodo.17116153
https://zenodo.org/records/17116153

Predicting Wildfires with Machine Learning: Insights from Pyrocumulonimbus Clouds Dynamics

Συγγραφείς: Singh, Amit

Συνεισφορές: Singh, Amit

Θεματικοί όροι: Convolutional neural networks (CNN), Edge AI inference, Ensemble machine learning, Environmental monitoring, Geospatial visualization, Pyrocumulonimbus clouds, Supabase, TensorFlow.js, Wildfire prediction

Relation: https://zenodo.org/records/15243631; oai:zenodo.org:15243631; https://doi.org/10.5281/zenodo.15243631

Διαθεσιμότητα: https://doi.org/10.5281/zenodo.15243631
https://zenodo.org/records/15243631

Towards Understanding the Faults of JavaScript-Based Deep Learning Systems

Συγγραφείς: Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen, Xiaohong Li, Yang Liu

Πηγή: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering. :1-13

Θεματικοί όροι: JavaScript, Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Deep Learning, Faults, Artificial Intelligence and Robotics, Programming Languages and Compilers, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, TensorFlow.js

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2209.04791

Front-end deep learning web apps development and deployment: a review

Συγγραφείς: Goh, Hock-Ann^{Aff1, IDs10489022042786_cor1}, Ho, Chin-Kuan, Abas, Fazly Salleh

Πηγή: Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems. 53(12):15923-15945

Drowsy Alarm System Based on Face Landmarks Detection Using MediaPipe FaceMesh

Συγγραφείς: Aman^Aff13, Sangal, A. L.^Aff13

Συνεισφορές: Kacprzyk, Janusz, Series Editor^Aff1, Gomide, Fernando, Advisory Editor^Aff2, Kaynak, Okyay, Advisory Editor^Aff3, Liu, Derong, Advisory Editor^Aff4, Pedrycz, Witold, Advisory Editor^Aff5, Polycarpou, Marios M., Advisory Editor^Aff6, Rudas, Imre J., Advisory Editor^Aff7, Wang, Jun, Advisory Editor^Aff8, Rawat, Sanyog, editor^Aff9, Kumar, Arvind, editor^Aff10, Kumar, Pramod, editor^Aff11, Anguera, Jaume, editor^Aff12

Πηγή: Proceedings of First International Conference on Computational Electronics for Wireless Communications : ICCWC 2021. 329:363-375

BROWSER-BASED OBJECT DETECTION SYSTEM FOR ISOLATING PLASTIC BOTTLES USING THE COCO-SSD MODEL

Συγγραφείς: Managwu, Chidozie, Matthias, Daniel

Πηγή: International Journal of Advanced Research in Computer Science; Vol. 15 No. 5 (2024): Volume 15, No. 5, September-October 2024; 50-52 ; 0976-5697 ; 10.26483/ijarcs.v15i5

Θεματικοί όροι: Object Detection, Machine Learning, TensorFlow.js, COCO-SSD, Browser-based AI, Plastic Waste, Real-time Detection

Περιγραφή αρχείου: application/pdf

Relation: http://www.ijarcs.info/index.php/Ijarcs/article/view/7124/5830; http://www.ijarcs.info/index.php/Ijarcs/article/view/7124

Διαθεσιμότητα: http://www.ijarcs.info/index.php/Ijarcs/article/view/7124
https://doi.org/10.26483/ijarcs.v15i5.7124