Sensor-Based Gait Analysis: A Comparative Study of Ultrasonic and Laser Sensors for Gait Monitoring in Rollator-Assisted Walking by Ivan Omeko, Stefan Twieg, Martin Obert

“…This is based on measuring the distance between the user and the rollator, among other methods. The study evaluates three different distance sensors — HC-SR04, HC-SR04-P, and TFmini-S to determine the most reliable and suitable option. …”
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A deep learning model for diagnosis of inherited retinal diseases by Freshteh Jafarbeglou, Hamid Ahmadieh, Farnaz Soleimani, Ali Karimi, Narsis Daftarian, Sahba Fekri, Tahmineh Motevasseli, Morteza Naderan, Babak Kamali Doust Azad, Abbas Sheikhtaheri, Farid Khorrami, Hemn Baghban Jaldian, Kia Bayat, Saeideh Shahbazi, Mahdi Yazdanpanah, Tahereh Sabbaghi, Kourosh Sheibani, Hadi Ghattan Kashani, Masoud Shariat Panahi, Hamideh Sabbaghi

“…Abstract To evaluate the performance of a multi-input deep learning (DL) model in detecting two common inherited retinal diseases (IRDs), i.e. retinitis pigmentosa (RP) and Stargardt disease (STGD), and differentiating them from healthy eyes. …”
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Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer by Mohd Herwan Sulaiman, Zuriani Mustaffa

“…The study compares the proposed CNN-LSTM-BMO against other metaheuristic optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Differential Evolution (DE). …”
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Improved Sliding Mode Active Disturbance Rejection Control for Single-inductance Dual-output Buck Converter by HUANG Jinfeng, ZHOU Jie

“…Transient performance under input voltage and load disturbances is evaluated by comparing three control strategies: common-mode voltage/differential-mode voltage (CMV-DMV) control, conventional ADRC, and the proposed improved ADRC. …”
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Performance assessment of basalt fibre concrete under freeze-thaw cycles using hybrid long short-term memory models by Qingguo Yang, Honghu Wang, Qigui Yi, Liuyuan Zeng, Rui Xiang, Longfei Guan, Jiawei Cheng, Keling Chen, Yunhao Li

“…By integrating self-conducted experimental data and referenced datasets, a diverse experimental database was constructed. Improved algorithms, namely Asynchronous Learning Particle Swarm Optimization (AsyLnCPSO) and Hybrid Genetic Algorithm-based Particle Swarm Optimization (GA-HIDMS-PSO), were paired with LSTM neural networks to systematically evaluate their adaptability and effectiveness in predicting the performance of basalt fiber-reinforced concrete under freeze-thaw conditions. …”
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A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging by Jian Zhang, Jiajin Wang, Hongbo Li, Qin Zhang, Xiangning He, Cui Meng, Xiaoyan Huang, Youtong Fang, Jianwei Wu

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Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network by Runfang Hao, Yunpeng Bai, Kun Yang, Yongqiang Cheng, Shengjun Chang

“…Firstly, the key parameters of MCKD are optimized using the adaptive Non-dominated Sorting Genetic Algorithm (NSGA-II) with a new multi-objective evaluation index Hyperarea (HA). …”
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Smart solutions for dissolved oxygen control in semi-batch fermenters: A machine learning approach by J. Sumathi, P. Aravind, G. Gandhimathi

“…Parameters Root Mean Squared Error (RMSE) and the correlation coefficient (R-square) were used to evaluate the performance of each model and mathematical modeling for correlation co-efficient of all algorithms are also presented. …”
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Genetic Links Between Common Lung Diseases and Lung Cancer Progression: Bioinformatics and Machine Learning Insights by Md Ali Hossain, Tania Akter Asa, Md. Zulfiker Mahmud, AKM Azad, Mohammad Zahidur Rahman, Mohammad Ali Moni, Ahmed Moustafa

“…Finally, the hub genes were validated using the Human Protein Atlas (HPA) database and evaluated through various classification algorithms to ascertain their predictive power and diagnostic potential.   …”
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Self-adaptive multi-population quadratic approximation guided jaya optimization applied to economic load dispatch problems with or without valve-point effects by Sukriti Patty, Rajeev Das, Dharmadas Mandal, Provas Kumar Roy

“…SMP-JaQA, was originally proposed to address constrained optimization problems, adapts the positions of search agents based on the best solutions identified in each generation to converge efficiently to the optimal solution. To evaluate its performance, The algorithm is tested on six systems with 10, 38, 40, 110, 140, and 160 generating units. …”
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Simulation of Vertical Movements of Seawater in Stratified Reservoirs by N. V. Kudinov, A. A. Filina, A. V. Nikitina, D. V. Bondarenko, I. F. Razveeva

“…Chetverushkin, a linear combination of the Upwind and Standard Leapfrog difference schemes in aggregate has not been implemented and evaluated before. …”
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Clustering and Interpretability of Residential Electricity Demand Profiles by Sarra Kallel, Manar Amayri, Nizar Bouguila

“…This study assesses which CVIs provide reliable evaluations independent of clustering algorithm sensitivity. …”
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Dynamic Grouping Control of BESS for Remaining Useful Life Extension and Overall Energy Efficiency Improvement in Smoothing Wind Power Fluctuations by Yang Yu, Dongyang Chen, Yuwei Wu, Boxiao Wang, Yuhang Huo, Wentao Lu, Zengqiang Mi

“…Subsequently, an RUL evaluation model based on the swing door trend algorithm is built to shorten required calculation time. …”
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Can Integrating SoC Management in Economic Dispatch Enhance Real-Time Operation of a Microgrid? by Alessia Cagnano

“…To enable real-time adaptability, the methodology employs a Lyapunov-based optimization algorithm combined with a sensitivity analysis, ensuring rapid convergence to optimal solutions, even under rapidly changing conditions. …”
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Novel fusion of color balancing and superpixel based approach for detection of tomato plant diseases in natural complex environment by Saiqa Khan, Meera Narvekar

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Addressing ORPD problem in a standard IEEE power network accompanied with RESs and FACTs appliances by COMMKE under volatile load scenarios by Susanta Dutta, Tushnik Sarkar, Chandan Paul, Sabbir Reza Tarafdar, Provas Kumar Roy, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…The objectives have been achieved by the use of the COMMKE algorithm, a multi-trial vector-based monkey king evolution (MMKE) method integrated with oppositional based learning (OBL) and chaotic based learning (CBL). …”
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Facial Expression Recognition and Digital Images Infosecurity for Prevention Care System Application in Sudden Infant Death Syndrome Monitoring by Chih-Te Tsai, Chia-Hung Lin, Hsiang-Yueh Lai, Yu-En Cheng, Ping-Tzan Huang, Neng-Sheng Pai, Chien-Ming Li

“…Thus, to ensure secure SIDS monitoring, the SAES-based scheme implements robust block encryption and decryption processes to protect the privacy and security of infant images, while the YOLOv10 model enhances real-time OD, feature extraction, and pattern recognition capabilities. In experimental evaluations, a dataset of 5000 different facial expression images was self-collected and labeled with four classes of expressions. …”
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Optimal Power Flow: A Review of State-of-the-Art Techniques and Future Perspectives by Ahmed Babiker, Sulaiman S. Ahmad, Ijaz Ahmed, Muhammad Khalid, Mohammad A. Abido, Fahad Saleh Al-Ismail

“…Additionally, it explores the evolution of these methods from conventional approaches to advanced and recent techniques, including mathematical methods and artificial intelligence methods, which include metaheuristic (search-based) and machine learning algorithms (data-driven). …”
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Optimization of a Novel FOPIDN-(1+PIDN) Controller for Renewable Integrated Multi-Area Load Frequency Control System With Non-Linearities by Shreekanta Kumar Ojha, Maddela Chinna Obaiah

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Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data by Firoz Khan, Sardar Irfanullah Amanullah, Shitharth Selvarajan

“…Brain tumors develop in various regions of the brain, each affecting different functions such as movement, speech, and vision, depending on their location. …”
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