Many-Objective Cheetah Optimizer: A Novel Paradigm for Solving Complex Engineering Problems by Pinank Patel, Divya Adalja, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, G. Gulothungan, Ahmad O. Hourani, Kaznah Alshammari

“…Optimization approaches currently face limitations when trying to balance exploration and exploitation especially when resources become limited. …”
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Methodology for Assessing the Level of Digitalization of the Construction Industry by A. S. Mishchenko

“…The methodology is based on the current algorithm for introducing digital tools into the work of construction companies, which simultaneously reflects all stages of the life cycle of construction projects and the trend towards increasing the degree of digital interaction. …”
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Heat Dissipation Structure Optimization of Inverter Based on the Optimal Control Strategy by DAI Xiaopeng, LEI Fei, ZHANG Tianhao

“…In this paper, the optimal Latin hypercube sampling is used to construct the response surface surrogate model (RSM), and the multi-island genetic algorithm (MIGA) is used to optimize the surrogate model. …”
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Prediction of Thyroid Classes Using Feature Selection of AEHOA Based CNN Model for Healthy Lifestyle by Rachappa Jopate, Piyush Kumar Pareek, DivyaJyothi M. G, Ariam Saleh Zuwayid Juma Al Hasani

“…This research presents the Adaptive Elephant Herd Optimisation Algorithm (AEHOA) model for selecting optimal attributes in order to circumvent these limitations. …”
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Enhanced Indoor Pedestrian Tracking Using UWB/PDR Fusion and NLOS Error Mitigation by Shoude Wang, Nur Syazreen Ahmad

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Enhancing DC Motor Speed Control Performance Using Heuristic Optimization and Comparative Analysis of Control Methods by Ali Öztürk, Nasser Bandar Nasser Al Saremi, Beytullah Bozali

“…Direct Current (DC) motors are an important component that converts electrical energy into mechanical energy, used in a wide range of applications from industrial applications to home appliances. …”
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Intellectual Property Ownership of AI-Generated Content by A. Kirakosyan

“…The research is also based on the comparative legal method and analytical legal method of commenting current law of Armenia and foreign countries. The results of the study allow author to substantiate that the actual right holder to the content produced by the neural network is the programmer of the underlying algorithm system. …”
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High-Resolution Vegetation Optical Depth Retrieved From Sentinel-1 C-Band SAR Data by Lihong Zhu, Yiman Li, Qing Xia, Qiong Zheng, Shuang Zhao, Zhi Huang

“…To address this issue, the corrected soil scattering components from the TU-Wien algorithm are used as input parameters for the WCM to construct the VOD time series. …”
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Terahertz Communication: State-of-the-Art and Future Directions by Sanjeev Sharma, Praveen K. Singya, Kuntal Deka, Cedric Adjih, Mohit Sharma

“…Additionally, we discuss the current state-of-the-art in THz communication technology, covering aspects such as modulation techniques, radio frequency (RF) front-end design, and signal processing algorithms. …”
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STRATEGY OF DATA INTEGRITY CONTROL FOR SYSTEM WIDE INFORMATION MANAGEMENT CONCEPT by L. E. Rudel'son, S. N. Smorodskiy, A. S. Stepanenko

“…The article proposes a three-level algorithm for neutralizing data mismatch in the elements of a distributed network of process participants ground and on-board computing facilities, allowing in the actual time to maintain consistency of information about the current air situation and its development prospects. …”
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CONSTRUCTING A MATHEMATICAL MODEL FOR ONE-DIMENSIONAL DIFFERENTIAL CORRELATOR by Vladimir P. Gerasimov, Alexander Yu. Darzhanya, Vladimir D. Kovalev

“…The article deals with mathematical modeling of the algorithm for calculating the error between the current and desired position of the vision line along one of the axes of the on-board controller in the videovisira of unmanned aerial vehicle (UAV), which allows an automatic increase in the reliability and accuracy of fire detecting and tracking in emergencies.…”
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Robust prediction of tool-tissue interaction force using ISSA-optimized BP neural networks in robotic surgery by Yong-Li Yan, Teng Ren, Li Ding, Tiansheng Sun, Shandeng Huang

“…A solution to predict clamp force accurately is needed to enhance surgical safety and efficiency. Methods The current proposal concerns a deep learning-based solution utilizing a backpropagation neural network (BPNN) optimized by improved sparrow search algorithm (ISSA) to predict clamp force on soft tissue. …”
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Application of Battery Life Prediction Technology in EMUs by DAI Yi, YU Tianjian, CHENG Shu, WU Xun, LIU Jiawen

“…However, due to the unique memory effect of alkaline cadmium-nickel battery, there are few life prediction algorithms suitable for batteries in EMU, and there is currently no practical application in China. …”
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Voltage Regulation Strategies in Photovoltaic-Energy Storage System Distribution Network: A Review by Qianwen Dong, Xingyuan Song, Chunyang Gong, Chenchen Hu, Junfeng Rui, Tingting Wang, Ziyang Xia, Zhixin Wang

“…This paper comprehensively reviews the voltage over-run mechanism in the PV-ESS distribution network and combs through the current mainstream voltage regulation strategies, of which two strategies of direct voltage regulation and current optimization are summarized. …”
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Faults Detection and Diagnosis of a Large-Scale PV System by Analyzing Power Losses and Electric Indicators Computed Using Random Forest and KNN-Based Prediction Models by Yasmine Gaaloul, Olfa Bel Hadj Brahim Kechiche, Houcine Oudira, Aissa Chouder, Mahmoud Hamouda, Santiago Silvestre, Sofiane Kichou

“…The approach ensures reliable input data for the predictive models, where RF achieved an R² of 0.99657 for current prediction and 0.99459 for power prediction, while KNN reached an R² of 0.99674 for voltage estimation, improving both the accuracy of fault detection and the system’s overall performance. …”
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ALGEBRAIC MODELS OF STRIP LINES IN A MULTILAYER DIELECTRIC MEDIUM by A. N. Kovalenko, A. N. Zhukov

“…On the basis of the developed algorithm we created a set of computer programs for calculating the propagation constants, the coefficients of the current density decomposition in terms of Chebyshev weighted polynomials and the wave impedances of screened strip lines of various types: a single and connected microstrip lines (with side and face communication); coplanar strip line; slit line and coplanar waveguide. …”
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Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data by Wenwu Zhou, Wenwu Zhou, Qingtai Shu, Cuifen Xia, Li Xu, Qin Xiang, Lianjin Fu, Zhengdao Yang, Shuwei Wang

“…Combined with 54 measured plot data, the improved machine learning model of the Bayesian optimization (BO) algorithm was used to obtain the FCC in the footprint-scale ATLAS footprint. …”
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Optimal Design of Integrating Two‐Level Artificial Intelligent With Three Degrees of Freedom‐PDF (TLNF‐3DOFPDF) Controller for AGC of Three‐Area Multi‐Sources Power System... by Getaneh Mesfin Meseret, Rajesh Kumhar, Tarkesh Kumar Mahato, Nishant Kumar, Poonam Lakra, M. D. Mofeed Alam

“…The study also examines the combined effect of high‐voltage direct current (HVDC) and alternating current (AC) tie‐lines on system dynamics, showing that this hybrid connection enhances system performance. …”
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Review of Acoustic Emission Detection Technology for Valve Internal Leakage: Mechanisms, Methods, Challenges, and Application Prospects by Dongjie Zheng, Xing Wang, Lingling Yang, Yunqi Li, Hui Xia, Haochuan Zhang, Xiaomei Xiang

“…Secondly, a detailed analysis is conducted on diverse signal processing techniques and their corresponding optimization strategies, encompassing parameter analysis, time–frequency analysis, nonlinear dynamics methods, and intelligent algorithms. Moreover, this paper recapitulates the current challenges encountered by this technology and delineates future research orientations, such as the fusion of multi-modal sensors, the deployment of lightweight deep learning models, and integration with the Internet of Things. …”
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DentoMorph-LDMs: diffusion models based on novel adaptive 8-connected gum tissue and deciduous teeth loss for dental image augmentation by Hanaa Salem Marie, Mostafa Elbaz, Riham sobhy Soliman, Amira Abdelhafeez elkhatib

“…Abstract Pediatric dental image analysis faces critical challenges in disease detection due to missing or corrupted pixel regions and the unique developmental characteristics of deciduous teeth, with current Latent Diffusion Models (LDMs) failing to preserve anatomical integrity during reconstruction of pediatric oral structures. …”
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