Algorithm for forming a geo-map of citizen appeals using artificial intelligence by Mallaev Oybek, Gazatov Jamoliddin, Aliyev Jaloliddin

“…The proposed geo-map module offers essential functions such as automatic detection and analysis of appeals, identification and marking of problem locations on the map, prioritization of urgent issues, prediction and prevention of appeal surges, automation of state services, and rapid response facilitation. …”
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Detection of Pathogenic Microorganisms by Fusion of Recursive Feature Pyramid by HUANGZhitian, XIEYining, ZHAOJing, HEYongjun

“…Aiming at the problems of less research on the detection of pathogenic microorganisms , large differences in target size and complex background , a multi-scale detection method of pathogenic microorganisms fused with recursive feature pyramid was proposed. …”
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On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

“…However, based on technological and operational limitations, the rate of metre reading is too low in many countries, which can affect detection performance. To investigate the effect of sampling frequency on the performance of detection methods, we designed a processing framework to evaluate different classification algorithms on versions of a challenging dataset obtained by down‐sampling the original data at various rates. …”
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Virtual Nurse for Detecting Suicide Risk Behaviors in Adolescents by Yohanes Tarigan

“…Suicidal ideation frequently occurs in teenagers, and many who seek consultation report similar thoughts or engage in self-harm. The approach to problem-solving proposed in this research is the use of a virtual nurse as an early detection service for suicide risk behavior. …”
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UAV Path Planning under Dynamic Threats Using an Improved PSO Algorithm by Jong-Jin Shin, Hyochoong Bang

“…The proposed algorithm is composed of preprocessing steps, multi-swarm PSO algorithm, and postprocessing steps. …”
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Security situational awareness of power information networks based on machine learning algorithms by Chao Wang, Jia-han Dong, Guang-xin Guo, Tian-yu Ren, Xiao-hu Wang, Ming-yu Pan

“…To properly predict the security posture of these networks, we provide a method based on machine learning algorithms to detect the security condition of power information networks. …”
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Detection of child depression using machine learning methods. by Umme Marzia Haque, Enamul Kabir, Rasheda Khanam

“…The variables of yes/no value of low correlation with the target variable (depression status) have been eliminated. The Boruta algorithm has been utilized in association with a Random Forest (RF) classifier to extract the most important features for depression detection among the high correlated variables with target variable. …”
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Application of deep learning in malware detection: a review by Yafei Song, Dandan Zhang, Jian Wang, Yanan Wang, Yang Wang, Peng Ding

“…The results of these tests will help researchers make decisions and early detection, effectively defense against malware. This work compares and reports a classification of malware detection work based on deep learning algorithms. …”
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An Algorithm of Train Operation Environment Recognition Based onEmbedded GPU Platform by XIONG Minjun, LI Chen, ZHANG Huiyuan, PENG Liantie, SU Zhen

“…Aiming at the problems of low efficiency, poor accuracy and weak robustness of traditional train operation environment sensing algorithms, a real-time detection algorithm of train operation environment based on image instance segmentation is proposed. …”
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Design and Application of Algorithm Intensive Environment for CMA Big Data and Cloud Platform by Huo Qing, He Wenchun, He Lin, Gao Feng, Chen Shiwang, Xu Yongjun

“…At the same time, based on the meteorological business comprehensive monitoring system (referred to as Tianjing) enables automatic collection of algorithm operation status and detection of abnormal alarms. …”
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Algorithm for Recognition of Small Air Targets by Trajectory Features in Passive Bistatic Radar by Dao Van Luc, A. A. Konovalov, Le Minh Hoang

“…A comparative analysis of the six most common recognition methods based on machine learning (Naïve Bayes, decision trees, k-nearest neighbors, neural network recognition algorithm, support vector machine, random forests) was carried out, which showed that, under the conditions of this problem, the most effective are k-nearest neighbor method and support vector machine.   …”
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Reconstruction of defects in elastic bodies by combination of genetic algorithm and finite element method by Arkady N Solovyev, Mikhail Y. Shevtsov

“…The results demonstrate adequacy of the additional information to overcome the problem ill-posedness, as well as high efficiency of the proposed algorithm both in accuracy of detecting defects parameters, and in their search speed.…”
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Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance by M. Elhoseny, Deepak Dasaratha Rao, Bala Dhandayuthapani Veerasamy, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…Only one false positive was detected， with a minor error of 1.52%. These results highlight the algorithm’s robustness and precision in handling noisy data. …”
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Overcoming Stagnation in Metaheuristic Algorithms with MsMA’s Adaptive Meta-Level Partitioning by Matej Črepinšek, Marjan Mernik, Miloš Beković, Matej Pintarič, Matej Moravec, Miha Ravber

“…When stagnation occurs, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mi>s</mi><mi>M</mi><mi>A</mi></mrow></semantics></math></inline-formula> divides the optimization run into partitions, restarting the MA for each partition with function evaluations guided by solution history, enhancing efficiency without modifying the MA’s internal logic, unlike algorithm-specific stagnation controls. The experimental results on the CEC’24 benchmark suite, which includes 29 diverse test functions, and on a real-world Load Flow Analysis (LFA) optimization problem demonstrate that MsMA consistently enhances the performance of all tested algorithms. …”
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Optimal azimuth positioning algorithm for base station antenna based on Gaussian distribution by Songbai LIANG, Feng CHEN, Haiping SONG, Wensheng LI

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Machine learning for Parkinson’s disease: a comprehensive review of datasets, algorithms, and challenges by Sahar Shokrpour, AmirMehdi MoghadamFarid, Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, Mohammad Akbari, Mostafa Sarvizadeh

“…Abstract Parkinson’s disease (PD) is a devastating neurological ailment affecting both mobility and cognitive function, posing considerable problems to the health of the elderly across the world. …”
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Synthetic data generation for anomaly detection on table grapes by Ionut M. Motoi, Valerio Belli, Alberto Carpineto, Daniele Nardi, Thomas A. Ciarfuglia

“…However, the rarity of these problems makes acquiring and processing the necessary data to train such algorithms a significant obstacle. …”
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Research on fault location algorithm of hybrid line based on distributed traveling wave by HU Shuncai, LI Jing, CHEN Ping, LIU Yang, ZHOU Futao, CHEN Haohao

“…In order to solve such problems, according to the different structures and characteristics of cables and overhead lines, the distributed traveling wave detection devices are installed on transmission lines to divide the lines into several sections. …”
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A Gradient-Based Interior-Point Method to Solve the Many-to-Many Assignment Problems by Nitish Das, P. Aruna Priya

“…The many-to-many assignment problem (MMAP) is a recent topic of study in the field of combinatorial optimization. …”
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