A Non-Isolated Extendable Boost Topology With Continuous Input and Output Currents by Hossein Gholizadeh, Alireza Poursalan, Reza Sharifi Shahrivar, Saeed Amini, Mohammadreza Salehi, Lazhar Ben-Brahim

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Assessing multi-decadal climatic variability and its impact on cardamom cultivation in the Indian Cardamom Hills by Sivajothi Ramalingam, Kazuaki Tanaka, Nainaru Tarakaramu, Muthusamy Murugan, Ashokkumar Kaliyaperumal, M. Ijaz Khan

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Comprehensive techno-economic optimization and performance analysis of molten salt concentrated solar power tower plants in Algeria by Larbi Mohamed, Rouibah Abdelkader, Kouider Laroussi, Arvind R. Singh, Mohit Bajaj, Milkias Berhanu Tuka

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YOLO-Based Image Segmentation for the Diagnostic of Spondylolisthesis From Lumbar Spine X-Ray Images by Arnik Vephasayanant, Anuchit Jitpattanakul, Paisarn Muneesawang, Konlakorn Wongpatikaseree, Narit Hnoohom

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Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets by Madiha Khalid, Ali Raza, Faizan Younas, Furqan Rustam, Monica Gracia Villar, Imran Ashraf, Adnan Akhtar

“…The logistic regression outperforms with the highest accuracy of 98.9% with minimum computational complexity. The sentiment classification performance of each applied model is validated using the k-fold cross-validations. …”
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Using Surrogate Models in the Construction of a Pareto-Optimal Positioning Electropneumatic Actuator with Discrete Pneumatic Valves by M. O. Sheykin, S. N. Cherkasskikh, D. V. Shilin, V. V. Fedenkov

“…It has been experimentally proven that the proposed approach reduces computational costs by 48%, while maintaining high accuracy of modeling and analysis.Discussion and Conclusion. …”
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Time-lapse imaging of identified granule cells in the mouse dentate gyrus after entorhinal lesion in vitro reveals heterogeneous cellular responses to denervation by Davide Greco, Alexander Drakew, Nina Rößler, Nina Rößler, Tassilo Jungenitz, Peter Jedlicka, Peter Jedlicka, Thomas Deller

“…Based on the standard deviations and the effect sizes observed in this study, a computer simulation yielded recommendations for the minimum number of neurons that should be analyzed in future studies using the entorhinal in vitro denervation model.…”
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Operative estimation of global horizontal irradiance using transfer functions through network types of artificial neural network in some selected sites in North-East Ethiopia: asse... by Tegenu Argaw Woldegiyorgis, Abera Debebe Assamnew, Natei Ermias Benti, Gezahegn Assefa Desalegn, Fikru Abiko Anose, Sentayehu Yigzaw Mossie

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A two stage differential evolution algorithm for parameter estimation of proton exchange membrane fuel cell by Mohammad Aljaidi, Sunilkumar P. Agrawal, Pradeep Jangir, Sundaram B. Pandya, Anil Parmar, Arpita, Ali Fayez Alkoradees, Bhargavi Indrajit Trivedi, Mohammad Khishe

“…TDE resulted in a 41% reduction in SSE (minimum SSE of 0.0255 compared to 0.0432), a 92% improvement in maximum SSE, and over 99.97% reduction in standard deviation compared to the HARD-DE algorithm. …”
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Near-Field Nulling Control Beamfocusing Optimization for Multi-User Interference Suppression by Yuanzhe Gong, Mohammadhossein Karimi, Tho Le-Ngoc

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Improvement of the Hybrid Renewable Energy System for a Sustainable Power Supply of Transportation Infrastructure Objects by Juraj Gerlici, Olexandr Shavolkin, Oleksandr Kravchenko, Iryna Shvedchykova, Yurii Haman

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COVID-19 Diagnosis Using Spectral and Statistical Analysis of Cough Recordings Based on the Combination of SVD and DWT by Thabit Sultan Mohammed, Awni Ismail Sultan, Khattab M. Ali Alheeti, Karim Mohammed Aljebory, Hasan Ismail Sultan, Muzhir Shaban Al-Ani

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A Novel Differential Exchange Parallel Great Wall Construction Algorithm for Efficient Multilevel Image Segmentation by Jeng-Shyang Pan, Rongli Zhang, Shu-Chuan Chu, Xiao Sui, Junzo Watada

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Modulation Assessment With IQD Correction for Two-Way Sequential AAF Relaying Transmissions by Hala Mostafa, Mohamed Marey, Khaled Mohamad Almustafa, Juliano Katrib

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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…This approach effectively reduces the computational cost of fine-tuning while producing higher-quality samples. …”
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A New Encryption Algorithm Utilizing DNA Subsequence Operations for Color Images by Saeed Mirzajani, Seyed Shahabeddin Moafimadani, Majid Roohi

“…Additionally, entropy values were computed, achieving a minimum entropy of 7.0, indicating a high level of randomness. …”
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Inter-AGV Scheduling and a Novel Multi-Agent Collaborative Protocol for Intra-AGV Resource Allocation in MEC-Enabled Multi-AGV Scenarios by Javier Palomares, Estela Carmona-Cejudo, Cristina Cervello-Pastor, Estefania Coronado, Hatim Chergui, Muhammad Shuaib Siddiqui

“…Second, a multi-agent deep reinforcement learning (MADRL)-based collaborative protocol for dynamic intra- AGV resource allocation (MACP-DRA) is proposed, allowing AGVs to adjust computational resources dynamically. It incorporates a minimum guaranteed share strategy to ensure fair resource distribution while optimizing performance under dynamic workloads. …”
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X-ray tomo-ptychography of single micrometric carbon and basalt fibres by M. Ducousso, J. Rinkel, W. Boutu, F. Jenson, J. Pérez, P. Margerit, N. Quaglia, E. Heriprë, J.P. Marquez Costa, L. Courapied

“…The carbon fibre exhibits a density variation as function of its radius, with a maximum at its center and a minimum around half of the radius, while the basalt fibre is homogeneous. …”
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The Extent of the Crack on Artificial Simulation Models with CBCT and Periapical Radiography. by Shuang Wang, Yiran Xu, Zhengyan Shen, Lijun Wang, Feng Qiao, Xu Zhang, Minghua Li, Ligeng Wu

“…They were subjected to PR and CBCT. Micro-computed tomography (micro-CT) examination, regarded as a relatively more accurate measurement than others, was used to measure and record the crack depth. …”
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A Fast and Effective MIMO Algorithm Using CLR-RNN for Hybrid MDM and WDM Optical Communication System by Danni Zhang, Zhongwei Tan, Xinyuan Ma, Shun Lu, Wenhua Ren, Fengping Yan

“…In this paper, a novel MIMO detector is designed using an adaptive learning recurrent neural network and successfully implemented in a mixed wavelength-division-mode-division-multiplexing (WDM-MDM) optical transmission system, and its performance is compared with that of the forced-zero detector and the minimum-mean-square-error detector. The results show that the introduction of an adaptive machine learning model in MIMO detection for WDM-MDM optical transmission systems can significantly improve the quality of the transmitted signals and achieve better performance than other MIMO detection algorithms while maintaining a faster computational speed and a lower number of parameters.…”
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