Constrained Convolutional Neural Network Models for Optimizing Fully Connected Layer Weights in CNNs

Ugur Talas,Burakhan Cubukcu,Ugur Yuzgec

#Artificial intelligence #image classification #constrained #convolutional neural network #hyperparameter #deep learning

A Silicosis-Focused Hybrid Architecture Leveraging Enhanced Segmentation and Feature Based Classification

Shivaanivarsha Natarajan,Kavipriya Periyasamy

#Deep learning #lung disease #silicosis #segmentation #UNet

Machine and Deep Learning Model for EMG Signal Classification: A New Performance-Cost Analysis Across CPU and GPU Architectures

Toka Fathi,Mohammed A M Abdullah,Basil Shukr

#EMG #GPU #decision trees #random forests #KNN #XGboost #LSTM #and CNN-LSTM

Inflammatory Bowel Disease Detection Using Machine Learning Techniques

Veerender Aerranagula,Raju Bhukya

#Bowel disease #crohn’s disease #machine learning

EEG-Based Epileptic Seizure Detection Using Optimized Spatio-Temporal Graph CNN

Palepu Vijaya Santhi,Sarat K Kotamraju,ChSri Kavya

#Epileptic seizure detection #holistic dynamic frequency transformer #wader hunt optimization algorithm

Vehicle Type Recognition using an Efficient Regularization in Mask_RCNN

Noraqilah Misman,Suryanti Awang,Mohammed Khalaf,Hasan Kahtan

#Vehicle type classification #deep learning #optimized deep learning #computational intelligence

Multimodal Human Interaction Recognition Framework Using Multi-Features and Deep Learning Approach

Tanvir Fatima Naik Bukht,Haita Alhaston,Noif Alshamrari,Nouf Abdullah Almujally,Ahmad Jalal

#Image analysis #pattern analytics #body pose #interaction classification #deep learning

An Enhanced 3D Rainy Stereoscopic Video Stabilization Framework by Using Depth Estimation and SA-LMCCA-CNN

Mehala Rajendran,Mahesh Krishnan

#Video stabilization #3D rainy stereoscopic video #depth estimation #hallucination mitigation #texture mapping #LKT #and LPF

Vehicle Type Recognition using an Efficient Regularization in Mask_RCNN

Noraqilah Misman,Suryanti Awang,Mohammed Khalaf,Hasan Kahtan

#Vehicle type classification #deep learning #optimized deep learning #computational intelligence

Multimodal Human Interaction Recognition Framework Using Multi-Features and Deep Learning Approach

Tanvir Fatima Naik Bukht,Haita Alhaston,Noif Alshamrari,Nouf Abdullah Almujally,Ahmad Jalal

#Image analysis #pattern analytics #body pose #interaction classification #deep learning

An Enhanced 3D Rainy Stereoscopic Video Stabilization Framework by Using Depth Estimation and SA-LMCCA-CNN

Mehala Rajendran,Mahesh Krishnan

#Video stabilization #3D rainy stereoscopic video #depth estimation #hallucination mitigation #texture mapping #LKT #and LPF

Evaluation of Deep Learning Models for Remote Sensing Segmentation and Classification

SaiVenkataLakshmi Ananth,Suryakanth Gangashetty

#Semantic segmentation #deep learning #VGG16 #classification #remote sensing #densenet201-CNN #U-net #deeplabV3+

Evaluation of Deep Learning Models for Remote Sensing Segmentation and Classification

SaiVenkataLakshmi Ananth,Suryakanth Gangashetty

#Semantic segmentation #deep learning #VGG16 #classification #remote sensing #densenet201-CNN #U-net #deeplabV3+

Exploring the Intersection of Information Theory and Machine Learning

Yousef Jaradat,Mohammad Masoud,Ahmad Manasrah,Mohammad Alia,Khalid Suwais,Sally Almanasra

#Information theory #machine learning #entropy #mutual information #information bottleneck

Deep Learning-Based Control System for Context-Aware Surveillance Using Skeleton Sequences from IP and Drone Camera Video

Vasavi Sanikommu,Sobhana Mummaneni,Novaline Jacob,Emmanuel Sanjay Raj K.C,Bhartendra Kumar,Radha Devi Pullur Variam

#Computer vision #human activity recognition #face recognition #crowd video surveillance #deep learning #feature extraction

Adaptive Red Panda Optimization for Feature Extraction in Diabetic Retinopathy Detection Using Deep Learning

Mahesh Ramakrishnappa,Rohith Shivashankar

#Diabetes #diabetic retinopathy detection #convolutional neural network #U-net #red panda optimization

Hybrid CNN Xception and Long Short-Term Memory Model for the Detection of Interpersonal Violence in Videos

David Calderon-Vilca,Kent Cuadros-Ramos,Sergio Valcarcel-Ascencios,Igor Aguilar-Alonso

#Image processing #LSTM #patterns of violence #violence detection #xception