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《Computer Modeling in Engineering & Sciences》: 作品数：2182被引量：932H指数：8; 导出分析报告; 主办单位：Tech Science Press; 最新期次：2025年4期更多>>; 发文主题：BASED_ONMACHINE_LEARNINGEDOPTIMIZATIONMETHOD更多>>; 发文领域：自动化与计算机技术理学电子电信医药卫生更多>>; 发文基金：国家自然科学基金中国博士后科学基金北京市自然科学基金国家社会科学基金更多>>

Chaos-Based Novel Watermarked Satellite Image Encryption Scheme: 《Computer Modeling in Engineering & Sciences》2025年第4期1049-1070,共22页Mohamed Medani Yahia Said Nashwan Adnan Othman Farrukh Yuldashev Mohamed Kchaou Faisal Khaled Aldawood Bacha Rehman; supported by the Deanship of Scientific Research at King Khalid University for funding this work through the large group research project under grant number RGP2/461/45;the Deanship of Scientific Researchat Northern Border University,Arar,Saudi Arabia for funding this research work through the project number NBU-FFR-2025-3030-05.; Satellite images are widely used for remote sensing and defence applications,however,they are subject to a variety of threats.To ensure the security and privacy of these images,theymust be watermarked and encrypted be...; 关键词：DNA sequence TD-ERCS chaoticmap henon chaoticmap duffing chaotic system SHA-512 encryption technique watermark embedding

BIG-ABAC:Leveraging Big Data for Adaptive,Scalable,and Context-Aware Access Control: 《Computer Modeling in Engineering & Sciences》2025年第4期1071-1093,共23页Sondes Baccouri Takoua Abdellatif; Managing sensitive data in dynamic and high-stakes environments,such as healthcare,requires access control frameworks that offer real-time adaptability,scalability,and regulatory compliance.BIG-ABAC introduces a trans...; 关键词：ABAC big data CONTEXT-AWARE decision trees adaptive policy SCALABILITY

Predictive Analytics for Diabetic Patient Care:Leveraging AI to Forecast Readmission and Hospital Stays: 《Computer Modeling in Engineering & Sciences》2025年第4期1095-1128,共34页Saleh Albahli; Predicting hospital readmission and length of stay(LOS)for diabetic patients is critical for improving healthcare quality,optimizing resource utilization,and reducing costs.This study leveragesmachine learning algorit...; 关键词：Machine learning healthcare classification predictive model DIABETES

An Effective Lung Cancer Diagnosis Model Using Pre-Trained CNNs: 《Computer Modeling in Engineering & Sciences》2025年第4期1129-1155,共27页Majdi Rawashdeh Muath A.Obaidat Meryem Abouali Dhia Eddine Salhi Kutub Thakur; Cancer is a formidable andmultifaceted disease driven by genetic aberrations and metabolic disruptions.Around 19% of cancer-related deaths worldwide are attributable to lung and colon cancer,which is also the top caus...; 关键词：Lung cancer machine learning computer aided diagnosis CNN medical imaging transfer learning

Coupling the Power of YOLOv9 with Transformer for Small Object Detection in Remote-Sensing Images: 《Computer Modeling in Engineering & Sciences》2025年第4期593-616,共24页Mohammad Barr; Recent years have seen a surge in interest in object detection on remote sensing images for applications such as surveillance andmanagement.However,challenges like small object detection,scale variation,and the presen...; 关键词：Remote sensing images YOLOv9-TH multi-scale object detection transformer heads VisDrone2021 dataset

Bayesian Network Reconstruction and Iterative Divergence Problem Solving Method Based on Norm Minimization: 《Computer Modeling in Engineering & Sciences》2025年第4期617-637,共21页Kuo Li Aimin Wang Limin Wang Yuetan Zhao Xinyu Zhu; supported by the Scientific and Technological Developing Scheme of Jilin Province,China(No.20240101371JC);the National Natural Science Foundation of China(No.62107008).; A Bayesian network reconstruction method based on norm minimization is proposed to address the sparsity and iterative divergence issues in network reconstruction caused by noise and missing values.This method achieves...; 关键词：Bayesian norm minimization network reconstruction iterative divergence SPARSITY

Intrusion Detection in NSL-KDD Dataset Using Hybrid Self-Organizing Map Model: 《Computer Modeling in Engineering & Sciences》2025年第4期639-671,共33页Noveela Iftikhar Mujeeb Ur Rehman Mumtaz Ali Shah Mohammed J.F.Alenazi Jehad Ali; Researcher Supporting Project number(RSPD2025R582),King Saud University,Riyadh,Saudi Arabia.; Intrusion attempts against Internet of Things(IoT)devices have significantly increased in the last few years.These devices are now easy targets for hackers because of their built-in security flaws.Combining a Self-Org...; 关键词：Intrusion detection self-organizing map Internet of Things dimensionality reduction

Multi-Objective Approaches for Optimizing 37-Bus Power Distribution Systems with Reconfiguration Technique:From Unbalance Current&Voltage Factor to Reliability Indices: 《Computer Modeling in Engineering & Sciences》2025年第4期673-721,共49页Murat Cikan; supported by the Scientific and Technological Research Council of Turkey(TUBITAK)under Grant No.124E002(1001-Project).; This study examines various issues arising in three-phase unbalanced power distribution networks(PDNs)using a comprehensive optimization approach.With the integration of renewable energy sources,increasing energy dema...; 关键词：Unbalanced power distribution network line and customer reliability index unbalance voltage and current index meta-heuristic optimization active power loss

Parameters Estimation of Modified Triple Diode Model of PSCs Considering Charge Accumulations and Electric Field Effects Using Puma Optimizer: 《Computer Modeling in Engineering & Sciences》2025年第4期723-745,共23页Amlak Abaza Ragab A.El-Sehiemy Mona Gafar Ahmed Bayoumi; supported via funding from Prince Sattam Bin Abdulaziz University project number(PSAU/2025/R/1446).; Promoting the high penetration of renewable energies like photovoltaic(PV)systems has become an urgent issue for expanding modern power grids and has accomplished several challenges compared to existing distribution g...; 关键词：Dynamic model of PSCs puma optimizer parameter estimation triple diode model

Improving Shallow Foundation Settlement Prediction through Intelligent Optimization Techniques: 《Computer Modeling in Engineering & Sciences》2025年第4期747-766,共20页Hadi Fattahi Hossein Ghaedi Danial Jahed Armaghani; In contemporary geotechnical projects,various approaches are employed for forecasting the settlement of shallow foundations(S_(m)).However,achieving precise modeling of foundation behavior using certain techniques(suc...; 关键词：Shallow foundations optimization algorithms settlement prediction intelligent methods sensitivity analysis

《Computer Modeling in Engineering & Sciences》