Robust Image Watermarking using DWT, DCT, and PSO with CNN-Based Attack Evaluation

Mohammad Alia,Adnan Hnaif,Aseel Alrawashdeh,Yousef Jaradat,Mohammad Masoud,Ahmad Manasrah,Ahmad AlShanty

#Particle swarm optimization #discrete wavelet transform #discrete cosine transform #denosing network #additive white gaussian noise #peak signal-to-noise ratio #normalized correlation coefficient

Using Deep Learning for Profitable Concrete Forecasting Methods

Ayat Al-Hinawi,Radwan Alelaimat

#Concrete performance prediction #machine learning #deep learning #construction management #regression

Evaluation of Emission Reduction Performance of Power Enterprises Based on Least Squares Support Vector Machine

Wanqing Zhang,Ruohan Huang,Luwei Ye

#Power generation enterprise #evaluation indicators #least squares support vector machine #Lion swarm optimization algorithm #chaos theory

Curved Text Detection in Scenic Images via Proposal-Free Panoptic Segmentation and Deep Learning

Prachi Chhabra,Ali Abidi

#Deep learning #image segmentation #natural scene images #multi-oriented text #curved text detection

Enhanced Soccer Training Simulation Using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality

Xiang Cheng,Pingping Zhang

#Football #progressive Wasserstein generative adversarial network #soccer training termite life cycle optimization #virtual reality

RSO based Optimization of Random Forest Classifier for Fault Detection and Classification in Photovoltaic Arrays

Khaled Baradieh,Mohd Zainuri,Mohamed Kamari,Yushaizad Yusof,Huda Abdullah,Mohd Zaman,Mohd Zulkifley

#Classifier #diagnosis #fault classification #fault detection #machine learning #optimization #photovoltaic #pv #random forest

Bibliometric Analysis and Systematic Review of Research on Expert Finding: A PRISMA-guided Approach

Xuan-Lam Pham,Thi Thu Le

#Expert finding #expert finding systems #bibliometric analysis #systematic review #PRISMA methodology

CANBLWO: A Novel Hybrid Approach for Semantic Text Generation

Abhishek Kumar Pandey,Sanjiban Sekhar Roy

#Natural language processing #natural language generation #neural network #convolutional attention network #whale optimization algorithm #BERT #large language model

Analyzing Sentiments using Optimized Novel Ensemble Fuzzy and DL based Approach with Efficient Feature Selection and Extraction Models

Potu Bharath,Dasari Venkata Lakshmi

#Sentiment analysis #deep convolutional fuzzy neural network #multilayer stacked bidirectional LSTM neural network inception-ResNet-V2 #enhanced reptile search algorithm #Al-Biruni earth radius optimization algorithm

Ar-CM-ViMETA: Arabic Image Captioning based on Concept Model and Vision-based Multi-Encoder Transformer Architecture

Asmaa Osman,Mohamed Shalaby,Mona Soliman,Khaled Elsayed

#Arabic image captioning #transformer #concept #computer vision

Software Component Selection: An Optimized Selection Criterion for Component-based Software Engineering (CBSE)

Ahmad Nabot

#Multi-criteria decision making #assessment #evidential reasoning #software component #quality criteria

Software Quality Assessment Approach using Analytical Hierarchical Model: Applied in SMEs

Abeer Hamed,Alaa Riad,Ramadan Mowad,Hazem El-Bakry

#Analytical hierarchical process #cost of defects metrics #cost of software quality metrics #reliability metrics #small and medium enterprises #software quality

Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics

Software Component Selection: An Optimized Selection Criterion for Component-based Software Engineering (CBSE)

Ahmad Nabot

#Multi-criteria decision making #assessment #evidential reasoning #software component #quality criteria

Software Quality Assessment Approach using Analytical Hierarchical Model: Applied in SMEs

Abeer Hamed,Alaa Riad,Ramadan Mowad,Hazem El-Bakry

#Analytical hierarchical process #cost of defects metrics #cost of software quality metrics #reliability metrics #small and medium enterprises #software quality

Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics

The Coupling of a Multiplicative Group and the Theory of Chaos in the Encryptions of Images

Fouzia Elazzaby,Nabil Elakkad,Khalid Sabour

#Image encryption #multiplicative group #map 2D-SLMM #security

ERDAP: A Novel Method of Event Relation Data Augmentation Based on Relation Prediction

Ruijuan Hu,Haiyan Liu,Wentao Yu

#Relation prediction #event relation #data augmentation #graph convolutional networks #causality extraction

Evaluation Model of Athletes’ Lower Extremity Training Ability Based on LSTM Algorithm

Yuanyuan Gao,Qiang Qian,Xuefeng Sun,Jiankun An,Yutao Yuan

#Short-term memory network #athletes #lower extremity motor ability #evaluation model

Enhancing Security in Cloud-Based VM Migration: A Trust-Centric Hybrid Optimization Approach

Gokul Narayanan,Saravanaguru Kannan

#Virtual machine #migration #downtime #migration time #security #optimization algorithm #gorilla-based shuffled shepherd optimization approach