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

Enhancing Software Development Efficiency Through User Stories Reuse from Application Descriptions

Indra Kharisma Raharjana,Avril Hermawan,Badrus Zaman,Shukor Sanim Mohd Fauzi

#Application description #requirements reuse #requirements elicitation #process innovation #user story

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

Enhancing Software Development Efficiency

Through User Stories Reuse from Application, Avril Hermawan, Badrus Zaman, Shukor Sanim Mohd Fauzi

#Application description # requirements reuse # requirements elicitation # process innovation # user story

Bridging the Gap: Ensemble Learning-Based NLP Framework for AI-Generated Text Identification in Academia

Layth Hazim,Oguz Ata

#Large language models #AI-generated text #human-written text #exploratory data analysis #NLP #ensemble learning

Neural Volumetric Representations for Real-Time 3D Scene Reconstruction Using Multi-Modal Learning Algorithm

Pidatala Devendrababu,Preeti Jha

#Deepvoxels #neural rendering technique #NeRF #MMLA

Neural Volumetric Representations for Real-Time 3D Scene Reconstruction Using Multi-Modal

Learning Algorithm,Preeti Jha

#Deepvoxels #neural rendering technique #NeRF #MMLA

Bridging the Gap: Ensemble Learning-Based NLP Framework for AI-Generated Text Identification in Academia

Layth Hazim,Oguz Ata

#Large language models #AI-generated text #human-written text #exploratory data analysis #NLP #ensemble learning

Neural Volumetric Representations for Real-Time 3D Scene Reconstruction Using Multi-Modal

Learning Algorithm, Preeti Jha

#Deepvoxels # neural rendering technique # NeRF # MMLA

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

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

Federated Graph Neural Networks for Dynamic IoT Collaboration Optimization in Smart Home Environments

Cheng Zhang,Yuanquan Zhong

#IoT device collaboration #graph neural network #federated learning #graph structure #smart home

Sales Forecasting and Consumption Recommendation System of E-commerce Agricultural Products Based on LSTM Model

Jianwei Wu

#LSTM model #sales forecast of agricultural products #e-commerce #personalized recommendation system

A Dual-End Recommendation Algorithm Integrating User Intent and Knowledge-Aware Attention Networks

Zijie Ji,Teng Lv,Yi Yu

#Recommendation model #user intent #knowledge-aware attention #dual-end recommendation

A Dual-End Recommendation Algorithm Integrating User Intent and Knowledge-Aware Attention Networks

Zijie Ji,Teng Lv,Yi Yu

#Recommendation model #user intent #knowledge-aware attention #dual-end recommendation

AD-DCFP: Anomaly Detection Based on the Distance of Closed Frequent Patterns

Yudong Yin,Kun Wang,Linqiang Deng

#Anomaly detection #closed frequent patterns #pattern distance #vertical-based mining

Multicasting Strategies for Increasing Network Efficiency in 5G Using Deep Learning

Wael AlZoubi,Hazem Hatamleh

#Multicasting #network performance #artificial intelligence #deep Q-networks #deep reinforcement learning #quality of service

AD-DCFP: Anomaly Detection Based on the Distance of Closed Frequent Patterns

Yudong Yin,Kun Wang,Linqiang Deng

#Anomaly detection #closed frequent patterns #pattern distance #vertical-based mining

Multicasting Strategies for Increasing Network Efficiency in 5G Using Deep Learning

Wael AlZoubi,Hazem Hatamleh

#Multicasting #network performance #artificial intelligence #deep Q-networks #deep reinforcement learning #quality of service

Determining PolyCystic Ovarian Syndrome Severity from Reddit Posts using Topic Modelling and Association Rule Mining

Santhi Selvaraj,Selva Nidhyananthan Sundaradhas

#Association rule mining #bag of words #frequent symptoms set #PCOS #topic modelling