Critical Evaluation of SQL Injection Security Measures in Web Applications by Haneen mohammed adhab Al salmawi

Get full text

THE FEATURES OF QUALITATIVE AND QUANTITATIVE RECONSTRUCTION OF BUCCAL EPITHILIUM CELLULAR COMPOSITION IN A NICOTINE INTOXICATION by N.V. Gasiuk, T.N. Moshel, I.Yu. Popovich

“… To determine the cytological criteria that allow prediction of occurrence and course of inflammation of the oral mucosa and periodontal tissues, we performed cytological study of buccal epithelium of young people who have the habit smoking. …”
Get full text

Optimization Research on Magnetic Interference Parameter Identification and Compensation for AUV Platforms by Haodong Wen, Guohua Zhou, Kena Wu, Xinkai Hu, Liezheng Tang, Shuai Xia

“…By applying the stacking ensemble learning method, the maximum prediction accuracy improves by up to 25.77%. Compared to individual algorithms, the proposed fusion method significantly enhances anti-interference capability and decoding accuracy. …”
Get full text

Novel Data-Driven PDF Modeling in FGM Method Based on Sparse Turbulent Flame Data by Guihua Zhang, Jiayue Liu, Yuxin Wu, Guangxi Yue

“…The results demonstrate that the random forest algorithm represents the optimal choice when both training complexity and predictive performance are comprehensively considered. …”
Get full text

CBID: A Scalable Method for Distributed Data Aggregation in WSNs by Aristides Mpitziopoulos, Damianos Gavalas, Charalampos Konstantopoulos, Grammati Pantziou

“…This results in a significant reduction of the overall energy expenditure and response time. …”
Get full text

An Efficient Transmission Power Design for SWIPT Multi-antenna Network Integrated by an Intelligent Reflecting Surface by Pham Viet Tuan, Dinh Long Hoang, Tu Ha Nguyen, Trong Duc Hoang

Get full text

DETERMINING TEACHING SCHEDULE AT STATE SENIOR HIGH SCHOOL 1 DEPOK USING ASSIGNMENT THEORY WITH HUNGARIAN METHOD AND NEW IMPROVED ONES ASSIGNMENT METHOD ASSISTED BY PYTHON by Catherine Richelle Hindarto, Febi Sanjaya

Get full text

Evaluation and Application of Urban Traffic Signal Optimizing Control Strategy Based on Reinforcement Learning by Yizhe Wang, Xiaoguang Yang, Yangdong Liu, Hailun Liang

Get full text

Analysis of the impact of mobile robots on the efficiency of warehousing and transport processes in modern textile manufacturing by Karabegović Isak

“…AMRs leverage advanced technologies such as LiDAR sensors, SLAM algorithms, artificial intelligence, and IoT systems to navigate complex industrial environments autonomously, optimize routes, and execute tasks without direct human intervention. …”
Get full text

Design Methodology of Power-Level Modulation for PV Power Loss Minimization and DC Series Arc Fault Detection and Extinguishing by Wan Kim, Hwa-Pyeong Park

“…Operating the conventional arc fault detection algorithm under normal conditions, such as irradiance variations, results in a reduction in PV power generation. …”
Get full text

Advanced lightweight deep learning vision framework for efficient pavement damage identification by Shuai Dong, Yunlong Wang, Jin Cao, Jia Ma, Yang Chen, Xin Kang

“…Moreover, LPDD-YOLO can obtain a 47.3% reduction in parameters and a 54.4% decrease in GFLOPs. …”
Get full text

Distribution Generation Network Arrangement by Capacitor Placement and Sizing in Renewable Energy Sources with Uncertainties Based on Self-adaption Kho-Kho Optimizer by Lu Xingxing

“…Post-optimization results indicated a reduction in power loss costs from 4.11 × 10^5 to 1.05 × 10^5 units, representing a 25.54% decrease. …”
Get full text

Evaluating Spatial Patterns of Ecosystem Services based on a Comparative Approach on Spatial Statistics in the Central Part of Isfahan Province by Sedighe Abdollahi, Alireza Ildoromi, Abdolrassoul Salmanmahini, Sima Fakheran

“…Then, spatial accuracy of the investigated algorithms was evaluated and compared using the Receiving Operator Characteristic method. …”
Get full text

Structural optimization of stiffened panel structures with continuous and discrete design variables using deep reinforcement learning by Ryota NONAMI, Mitsuru KITAMURA

“…Consequently, heuristic approaches such as Genetic Algorithms (GA) are often employed; however, GA typically imposes a high computational burden in large-scale optimization problems. …”
Get full text

Construction of a sugar and acid content estimation model for Miliang-1 kiwifruit during storage by LIU Li, YANG Tianyi, DONG Congying, SHI Caiyun, SI Peng, WEI Zhifeng, GAO Dengtao

“…To select the optimal hyperspectral wavelengths for predicting kiwifruit quality, Genetic Algorithm (GA) and Random Frog (RF) methods were employed. …”
Get full text

ҚАЗАҚСТАН РЕСПУБЛИКАСЫНЫҢ НАН-ТОҚАШ КӘСІПОРЫНДАРЫН ТАРАТУДЫН ЛОГИСТИКАЛЫҚ ЖҮЙЕЛЕРІН ҚҰРУ МӘСЕЛЕЛЕРІ... by D. K. Tursynbaeva, S. .. Bolatkizy, A. E. Toylybayev

Get full text

Modeling, optimization, and thermal management strategies of hydrogen fuel cell systems by Abubakar Unguwanrimi Yakubu, Liu Qingsheng, Meng Kai, Chen Jinwei, Omer Abbaker Ahmed Mohammed, Jiahao Zhao, Qi Jiang, Xuanhong Ye, Junyi Liu, Qinglong Yu, Muhammad Aurangzeb, Shusheng Xiong

“…This review synthesizes over one hundred studies published between 2015 and 2025, highlighting advancements in steady-state and dynamic modeling, AI-driven multi-objective optimization, and integrated thermal management. Optimization algorithms such as PSO, WOA, MIGA, and NSGA-II have shown promising results, including up to 15 % reduction in hydrogen consumption and 20 to 30 % improvement in thermal uniformity. …”
Get full text

EUS-based intratumoral and peritumoral machine learning radiomics analysis for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Shuangyang Mo, Shuangyang Mo, Nan Yi, Fengyan Qin, Huaying Zhao, Huaying Zhao, Yingwei Wang, Haiyan Qin, Haixiao Wei, Haixing Jiang, Shanyu Qin

“…Six machine learning algorithms were utilized to train prediction models employing features with nonzero coefficients. …”
Get full text

Mathematical modeling of ethanol distribution in body fluids by G. V. Nedugov

Get full text

The Role of Time in Facial Dynamics and Challenges in Automatic Emotion Recognition (2019–2024) by Williams Contreras-Higuera, Lucrezia Crescenzi-Lanna

Get full text