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

Application of Fuzzy Decision Intelligent Recommendation System in Personalized Health Management of Hospitals

Yaping Ge,Kun Hu*,Yi Liu,Chen Zhang

#Intelligent system #healthcare recommendation system #decision support system #fuzzy neural network #multi-criteria decision making

Multi-Class Image Classification Using Feature Fusion and Kinetic Gas Molecule Optimization

Venkataravana Kadirappa,Praveen Mokshanatha

#Accuracy #convolution neural network #feature extraction #feature fusion #image classification #kinetic gas molecule optimization #k-nearest neighbors

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

Innovative Approach for Brain Tumor Image Classification with Novel Optimized Feedforward Networks

Raafat Munshi

#Brain tumor image classification #AMFO-FNN #gaussian filter #GLCM #medical imaging

Campus Network Security Situation Awareness Based on AHP and Nadam Algorithm

Liwen Xu

#Network security #situation awareness #analytic hierarchy process #nadam algorithm #long and short-term memory network

Innovative Approach for Brain Tumor Image Classification with Novel Optimized Feedforward Networks

Raafat Munshi

#Brain tumor image classification #AMFO-FNN #gaussian filter #GLCM #medical imaging

Campus Network Security Situation Awareness Based on AHP and Nadam Algorithm

Liwen Xu

#Network security #situation awareness #analytic hierarchy process #nadam algorithm #long and short-term memory network

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

An Improved Taylor Hyperbolic Tangent and Sigmoid Activations for Avoiding Vanishing Gradients in Recurrent Neural Nets

Tirupati Gullipalli,Krishna Murali,Srinivasa Peri

#Vanishing gradient #taylor expansion #functional approximation #sigmoid #hyperbolic tangent #neural networks