Showing results (1-10 of 16) with videos related to
Sort By:
Pageof 2
Sensors (Basel, Switzerland)|November 27, 2019
Hybrid Indoor Localization Using IMU Sensors and Smartphone CameraAlwin Poulose, Dong Seog HanSensors (Basel, Switzerland)|April 3, 2021
The Extensive Usage of the Facial Image Threshing Machine for Facial Emotion Recognition PerformanceJung Hwan Kim, Alwin Poulose, Dong Seog HanComputational Intelligence and Neuroscience|October 17, 2022
HIT HAR: Human Image Threshing Machine for Human Activity Recognition Using Deep Learning ModelsAlwin Poulose, Jung Hwan Kim, Dong Seog HanAnimals : an Open Access Journal From MDPI|April 13, 2023
DISubNet: Depthwise Separable Inception Subnetwork for Pig Treatment Classification Using Thermal DataSavina Jassica Colaco, Jung Hwan Kim, Alwin Poulose, et al.Computers in Biology and Medicine|August 2, 2024
CBAM VGG16: An efficient driver distraction classification using CBAM embedded VGG16 architectureChittathuru Himala Praharsha, Alwin PoulosePhysiology & Behavior|September 18, 2024
Deep learning dives: Predicting anxiety in zebrafish through novel tank assay analysisAnagha Muralidharan, Amrutha Swaminathan, Alwin PoulosePhysiology & Behavior|October 12, 2024
Corrigendum to 'Deep learning dives: Predicting anxiety in Zebrafish through novel tank assay analysis' Physiology & Behavior (2024), 114696Anagha Muralidharan, Amrutha Swaminathan, Alwin PouloseSensors (Basel, Switzerland)|December 17, 2024
Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect ImagesChittathuru Himala Praharsha, Alwin Poulose, Chetan BadgujarMicron (Oxford, England : 1993)|October 15, 2023
Quantification of golgi dispersal and classification using machine learning modelsRutika Sansaria, Krishanu Dey Das, Alwin PouloseNeuroscience|December 15, 2024
Anxiety in aquatics: Leveraging machine learning models to predict adult zebrafish behaviorVartika Srivastava, Anagha Muralidharan, Amrutha Swaminathan, et al.Pageof 2