Conception and realization of a PV system provided with a sun tracker operating at dual axis by Khalil Kassmi, Rajae Gaamouche, Ali Lamkaddem, Soufian Talbi

“…This tracking  based on the use of four LDR sensors, which detect the intensity of light scattered by the sun a processing unit, from  command and control (UTCC), which manages all of the sun tracking tasks (the end detection of parcours, regulation of the power supplied by the PV panels (Command MPPT), ... ). …”
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Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm by Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo

“…This structure is complemented by a multi-head attention mechanism that processes temporal dynamics in emotion data, with both components optimized through FTTA to balance exploration and exploitation. …”
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Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models by M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

“…By incorporating a novel pre-processing method that leverages feature derivatives, the proposed models achieve over 98% accuracy in detecting cyber threats, providing a robust framework for protecting smart power grids from evolving cyber risks.…”
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Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism by Yun Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Runze Wu, Jingang Wang

“…This method constructs the Improved Whale Optimization -Variational Mode Decomposition-Singular Value Decomposition-Wavelet Threshold Denoising (IWOA-VMD-SVD-WTD) fourth-order processing architecture: IWOA adaptively optimizes the VMD essential variables (K, α) and employs the optimized VMD to decompose the perception coefficient (IMF) of the PEC signal. …”
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Genetic Identification of Parasitic <i>Giardia enterica</i> in Three Wild Rodent Species from a Zoological Institution: First Host Records in Brazilian Porcupine (<i>Coendou prehen... by Lorena Esteban-Sánchez, Marta Mateo-Barrientos, Manuel de la Riva-Fraga, Lino Pérez de Quadros, Juan José García Rodríguez, Francisco Ponce-Gordo

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Underwater Target Tracking Method Based on Forward-Looking Sonar Data by Wenjing Zeng, Renzhe Li, Heng Zhou, Tiedong Zhang

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ENHANCED EEG SIGNAL CLASSIFICATION FOR AUTISM SPECTRUM DISORDER USING RIEMANNIAN GEOMETRY AND ENSEMBLE LEARNING TECHNIQUES by Hajir Alzubaydi, Zaid Alyasseri

“…The P300 signal is difficult to detect in individuals with ASD due to noise, low amplitude, and increased latency compared to others. …”
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Modal Regression Estimation by Local Linear Approach in High-Dimensional Data Case by Fatimah A. Almulhim, Mohammed B. Alamari, Ali Laksaci, Zoulikha Kaid

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Welding deviation measurement method based on molten pool image analysis by Zhongren WANG, Hai XIA, Xiaofeng MA, Wen ZHANG, Kepeng CHEN, Rongli ZHAO, Tielin SHI

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Classifying Power Quality Issues in Railway Electrification Systems Using a Nonsubsampled Contourlet Transform Approach by Pampa Sinha, Kaushik Paul, I. M. Elzein, Mohamed Metwally Mahmoud, Ali M. El‐Rifaie, Wulfran Fendzi Mbasso, Ahmed M. Ewais

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Characterizing Lactic Acid Bacteria and Thermotolerant Coliforms in Spoiled Dairy Products from Bosnia and Herzegovina by Berina Muhović1, Nadia Islam1, Murtaza M. Tambuwala2, 3, Altijana Hromić-Jahjefendić1*

Spin-polarized Electrons from Magnetically Aligned Grains and Chiral Symmetry Breaking: Effects of Cosmic Rays in Protostellar Environments by Thiem Hoang

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Accurate Indoor Home Location Classification through Sound Analysis: The 1D-ILQP Approach by Umut Erman, Türker Tuncer, Nura Abdullahi, Sengul Dogan, Erhan Akbal

“…Detecting human activities within domestic environments constitutes a fundamental challenge in machine learning. …”
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Research on small target ship recognition based on feature fusion method and hybrid attention model by Ronghui YAN, Qian GUO, Ming LEI, Yanxiang CAI, Jianfeng YANG

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Identification of television images in vision systems based on mathematical apparatus of cubic normalized B-splines by Vladimir A Krutov, Dmitry A Bezuglov, Oleg V. Shvachko

“…The question is, for example, on severe observing conditions hindering the registration process, and null aprior information on the type of background noise. …”
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Low Signal-to-Noise Ratio Optoelectronic Signal Reconstruction Based on Zero-Phase Multi-Stage Collaborative Filtering by Xuzhao Yang, Hui Tian, Fan Wang, Jinping Ni, Rui Chen

“…Traditional signal processing algorithms fail to effectively suppress phase distortion and boundary effects under extremely low SNR conditions, creating a technical bottleneck that severely constrains system detection performance. …”
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Investigation of a Nanophotonic Sensor with Electrode Modified by Semiconductor Quantum Dots by O.A. Sushko, M.M. Rozhitskii

“…Particular attention is paid to the processes of assay in nanophotonic sensor. As an analyte we used polycyclic aromatic hydrocarbon (PAH) such as benzo[a]pyrene (BP), which is known for its carcinogenic properties. …”
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A Distributed Machine Learning-Based Scheme for Real-Time Highway Traffic Flow Prediction in Internet of Vehicles by Hani Alnami, Imad Mahgoub, Hamzah Al-Najada, Easa Alalwany

“…Most recent studies utilized machine learning models in traffic flow detection systems. However, these detection systems do not support real-time analysis. …”
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The results of using lean technologies in assessing the cardiovascular risk based on ultrasound markers of atherosclerosis by E. I. Tsukanova, S. S. Aleksanin

“…As a result of lean technology application, the duration of procedure was significantly reduced, and the process was improved by 6 times. Changes in intimamedia thickness (IMT) were detected in 42,6% of cases, and significantly more changes in IMT were found in women (48,1%) than in men (25,0%), p=0,0005. …”
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Role of Artificial Intelligence in the Diagnosis and Management of Pulmonary Embolism: A Comprehensive Review by Ahmad Moayad Naser, Rhea Vyas, Ahmed Ashraf Morgan, Abdul Mukhtadir Kalaiger, Amrin Kharawala, Sanjana Nagraj, Raksheeth Agarwal, Maisha Maliha, Shaunak Mangeshkar, Nikita Singh, Vikyath Satish, Sheetal Mathai, Leonidas Palaiodimos, Robert T. Faillace

“…Two primary AI-driven models that are currently being explored are deep convolutional neural networks (DCNNs) for enhanced image-based detection and natural language processing (NLP) for improved risk stratification using electronic health records. …”
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