Integrating Bioengineering and Machine Learning: A Multi-Algorithm Approach to Enhance Agricultural Sustainability and Resource Efficiency by Senthil G.A., Prabha R., Asha R.M., Suganthi S.U., Sridevi S.

“…The novel research incorporates high-level machine learning algorithms for optimizing agricultural performance regarding sustainability and resource efficiencies. …”
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A Novel Dataset and Detection Method for Unmanned Aerial Vehicles Using an Improved YOLOv9 Algorithm by Depeng Gao, Jianlin Tang, Hongqi Li, Bingshu Wang, Jianlin Qiu, Shuxi Chen, Xiangxiang Mei

“…The comparison of experimental results shows that the developed method has better anti-interference performance than other algorithms. The detection method and dataset used to test the anti-interference capabilities in this study are expected to assist in the development and validation of related research methods.…”
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Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining by Tianyue Niu, Ting Liu, Yiming Taclis Luo, Patrick Cheong-Iao Pang, Shuaishuai Huang, Ao Xiang

“…Morris Sensitivity presents a more balanced perspective, while SHAP and feature importance reflect the diversity of interpretable algorithms, and LIME shows a unique perspective. This detailed observation highlights the practical contribution of interpretable AI algorithms in the field of educational data mining, paving the way for more refined applications and deeper insights in future research.…”
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Multi-Timescale Nested Hydropower Station Optimization Scheduling Based on the Migrating Particle Whale Optimization Algorithm by Mi Zhang, Guosheng Zhou, Bei Liu, Dajun Huang, Hao Yu, Li Mo

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Quantum behaved Intelligent Variant of Gravitational Search Algorithm with Deep Neural Networks for Human Activity Recognition by Sonika Jindal, Monika Sachdeva, Alok K. S. Kushwaha

“…The recognition of activities from videos and image sequences with higher exactitude is the major challenge. This research work presents an automated system to recognize individual and group activities with major focus is the proposal of a novel quantum behaved intelligent variant of gravitational search algorithm to optimize the features for activity recognition. …”
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Algorithm for Control of Unmanned Aerial Vehicles in the Process of Visual Tracking of Objects with a Variable Movement’s Trajectory by A. A. Adnastarontsau, D. A. Adnastarontsava, R. V. Fiodortsev, D. V. Katser, A. Y. Liavonau, D. V. Romanov, D. N. Tcherniakovski, A. О. Mikhailau

“…The purpose of the research was to create an algorithm for determining and correcting the output parameters of the navigation module and the flight-navigation complex of unmanned aerial vehicles which provides control of an aviation gyro-stabilized platform with a multispectral optoelectronic system during flight and tracking various objects of observation.Principles of control of an aviation technical vision system located on an unmanned aerial vehicle on a two-degree gyro-stabilized platform with the possibility of full turn around two perpendicular axes along the course and pitch are considered. …”
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Microgrid anti islanding protection scheme based on deep neural network algorithm and unscented Kalman filtering by Sohaib Tahir Chauhdary, Taha Saeed Khan, Saad Arif, Ayaz Ahmad, Munam Ali Shah, Jamel Baili

“…Abstract Microgrid anti-islanding protection (MAIP) is an indispensable challenge in ensuring the safe and reliable operation of microgrids. This research article proposes the unscented Kalman filtering (UKF) and deep neural network algorithm (DNN) as an innovative approach to detect and prevent islanding events in microgrids. …”
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A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing by Julio Juárez, Jesús Guillermo Falcón-Cardona, José Carlos Ortiz-Bayliss

“…Abstract The one-dimensional bin packing problem (1DBPP) is a well-known NP-hard problem in computer science and operations research that involves many real-world applications. …”
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Performance Comparison of Vertex Block Descent and Position Based Dynamics Algorithms Using Cloth Simulation in Unity by Jun Ma, Nak-Jun Sung, Min-Hyung Choi, Min Hong

“…Future work will extend this research by evaluating additional physical simulation models, including the Mass-Spring System and Extended Position-Based Dynamics (XPBD), and developing optimizations to enhance the efficiency and scalability of these algorithms.…”
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Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

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Experimental research of transient processes in firmware digital phase-locked loop by А. П. Бондарев, С. И. Алтунин

“…This article considers the experimental research of transient processes that occur in digital phase-locked loops (DPLL) after closing the feedback loop. …”
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3D spatial evolutionary particle swarm algorithm based emergency communication spatial deployment optimization by Yumin Chen, Xicheng Tan, Jinguang Jiang, Xiaoliang Meng, Zeenat Khadim Hussain, Jianguang Tu, Huaming Wang, You Wan, Zongyao Sha

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Algorithms for extracting subsystems from a multilevel representation of a system of Boolean functions for joint minimization by P. N. Bibilo, N. A. Kirienko, V. I. Romanov

“…The purpose of experimental research is to determine the effectiveness of new algorithms for extracting the so-called connected subsystems from formula descriptions of the original system of Boolean functions. …”
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Synergetic simplified super-twisting algorithm control for stability enhancement of PV/BESS-based DC microgrid by Naamane Debdouche, Ali Chebabhi, Habib Benbouhenni, Fatma-Zohra Hadjaidji, Z. M. S. Elbarbary, Saad F. Al-Gahtani

“…Abstract To address the challenges of global warming and the greenhouse effect, extensive research has been dedicated to microgrids (MGs) powered by renewable energy sources (RESs). …”
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ANALYZING THE EFFECT OF SIMILARITY FUNCTIONS ON PARTITIONING AROUND MEDOIDS ALGORITHM FOR MAPPING DHF DISEASE IN NORTH SUMATRA by Wahyu Nur Fadillah, Yulita Molliq Rangkuti, Ichwanul Muslim Karo Karo

“…The Partitioning Around Medoid (PAM) algorithm is commonly used to cluster DHF cases. The idea of PAM is a clustering algorithm with a similarity-based approach to grouping objects in one cluster. …”
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Sports data analysis of track and field athletes based on IID-OPK and NonIID-OPK algorithms by Xiaofeng Chen

“…Therefore, the research introduces the Independent and Identically Distributed (IID) and Non-Independent and Identically Distributed (NonIID) ideas based on the K-means algorithm to optimize the data analysis process. …”
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Path planning of intelligent tennis ball picking robot integrating twin network target tracking algorithm by Zegang Wang

“…The results showed that in the training dataset, the accuracy of the proposed target tracking algorithm was as high as 0.981, which was 5.40–25.56% higher than existing algorithms such as SiamFC, MORT, SiamRPN, MeMOT, and FROG MOT. …”
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Enhanced Model for Gestational Diabetes Mellitus Prediction Using a Fusion Technique of Multiple Algorithms with Explainability by Ahmad Hassan, Saima Gulzar Ahmad, Tassawar Iqbal, Ehsan Ullah Munir, Kashif Ayyub, Naeem Ramzan

“…It uses conventional Machine Learning (ML) and advanced Deep Learning (DL) algorithms. Subsequently, it combines the strengths of both ML and DL algorithms using various ensemble techniques. …”
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Random Reflectance: A New Hyperspectral Data Preprocessing Method for Improving the Accuracy of Machine Learning Algorithms by Pavel A. Dmitriev, Anastasiya A. Dmitrieva, Boris L. Kozlovsky

“…Subsequent research endeavours are anticipated to elucidate a mechanistic rationale for the RR method in conjunction with the RF and GB algorithms. …”
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Improving IoT Network Longevity with Attack Repellent Energy (SARE) Algorithm for Energy-Efficient and Secure Routing by Indra Pandian, Shanthi Thirugnasambantham, Karthikeyan Balasubramaniam, Kirubaburi Ravichandran

“…One of the significant challenges is the lack of precise knowledge about the residual energy of nodes, which leads to complications in the Cluster Head (CH) selection process. This research addresses the problem by proposing an attack-repellent algorithm that identifies potential CHs with accurate knowledge of residual energy, while minimizing computational overhead for security purposes. …”
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