A Comprehensive Analysis of Thermal Heat Dissipation for Lithium-Ion Battery Packs by Xuguang Zhang, Hexiang Zhang, Amjad Almansour, Mrityunjay Singh, James D. Kiser, Hengling Zhu, Michael C. Halbig, Yi Zheng

“…This study presents a comprehensive thermal analysis of a 16-cell lithium-ion battery pack by exploring seven geometric configurations under airflow speeds ranging from 0 to 15 m/s and integrating nano-carbon-based phase change materials (PCMs) to enhance heat dissipation. A Computational Fluid Dynamics (CFD) approach was employed using Ansys Discovery and Workbench 2024 R1 to simulate airflow and heat transfer processes with high spatial resolution. …”
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Similarity measure for intuitionistic fuzzy sets and its applications in pattern recognition and multimodal medical image fusion by Anjali Patel, Deepa Gupta, E. A. Gopalakrishnan, Divya Sasidharan, V. Sowmya, Mohammed Zakariah, Abdulaziz S. Almazyad

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Study on particle deposition and flow characteristics of edible chili oil in bending pipe conveyance in industrial production by Jiacheng Zhuang, Qiushi Shi, Zhi Han

“…Abstract This study develops a coupled computational fluid dynamics (CFD) and discrete element method (DEM) two-phase flow model to investigate particle deposition behaviors in industrial pipeline transportation of edible chili oil, a high-viscosity fluid widely used in food industries. …”
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Designing and Evaluating a Dual-Stream Transformer-Based Architecture for Visual Question Answering by Faheem Shehzad, Aniello Minutolo, Massimo Esposito

“…While these complex architectures are effective, they typically come with a hefty price tag: a large number of parameters that demand significant processing power and lengthy training times. In contrast, traditional Dual-stream approaches prioritize accuracy above all else, neglecting the memory requirements of GPU processing and training time. …”
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A Novel Underwater Wireless Optical Communication Optical Receiver Decision Unit Strategy Based on a Convolutional Neural Network by Intesar F. El Ramley, Nada M. Bedaiwi, Yas Al-Hadeethi, Abeer Z. Barasheed, Saleha Al-Zhrani, Mingguang Chen

“…This study introduces a novel BER estimation strategy based on a Convolutional Neural Network (CNN) to improve the accuracy and speed of BER estimation performed by the decision unit’s computational processor compared to traditional methods. …”
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Biosynthesis of novel cannabigerolic acid derivatives by engineering the substrate specificity of aromatic prenyltransferase by Hoe-Suk Lee, Jisu Park, Jisu Park, Taejung Kim, Taejung Kim, Huitae Min, Seongsu Na, Seongsu Na, Soon Young Park, Young-Tae Park, Young-Tae Park, Young Joo Yeon, Jungyeob Ham, Jungyeob Ham, Jungyeob Ham

“…Efficient biotransformation processes are required to expand the range of accessible cannabinoids. …”
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Hybrid adaptive method for lane detection of degraded road surface condition by Khaled H. Almotairi

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Automatic Identification of the Main Ionospheric Trough in Total Electron Content Images by Gregory Starr, Sebastijan Mrak, Yukitoshi Nishimura, Michael Hirsch, Prakash Ishwar, Joshua Semeter

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FARVNet: A Fast and Accurate Range-View-Based Method for Semantic Segmentation of Point Clouds by Chuang Chen, Lulu Zhao, Wenwu Guo, Xia Yuan, Shihan Tan, Jing Hu, Zhenyuan Yang, Shengjie Wang, Wenyi Ge

“…Light Detection and Ranging (LiDAR) provides critical 3D point cloud data for environmental perception systems, yet efficiently processing unstructured point clouds while extracting semantically meaningful information remains a persistent challenge. …”
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Quantum Variational vs. Quantum Kernel Machine Learning Models for Partial Discharge Classification in Dielectric Oils by José Miguel Monzón-Verona, Santiago García-Alonso, Francisco Jorge Santana-Martín

“…In the QVM, with two qubits, an accuracy of 92% was observed in the first discharge combination in the three quantum computers used, with a margin of error of 1% compared to the simulation obtained on classical computers.…”
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TinyML-Based Real-Time Drift Compensation for Gas Sensors Using Spectral–Temporal Neural Networks by Adir Krayden, M. Avraham, H. Ashkar, T. Blank, S. Stolyarova, Yael Nemirovsky

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An algorithm for heterogeneous wireless network connections for user preferences and services by S. Dinesh Krishnan, A. Daniel, S. Ayyasamy, Balamurugan Balusamy, Shitharth Selvarajan, Taher Al-Shehari, Nasser A. Alsadhan

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Predictive channel scheduling algorithm between macro base station and micro base station group by Yinghai XIE, Ruohe YAO, Bin WU

“…A novel predictive channel scheduling algorithm was proposed for non-real-time traffic transmission between macro-base stations and micro-base stations in 5G ultra-cellular networks.First,based on the stochastic stationary process characteristics of wireless channels between stationary communication agents,a discrete channel state probability space was established for the scheduling process from the perspective of classical probability theory,and the event domain was segmented.Then,the efficient scheduling of multi-user,multi-non-real-time services was realized by probability numerical calculation of each event domain.The theoretical analysis and simulation results show that the algorithm has low computational complexity.Compared with other classical scheduling algorithms,the new algorithm can optimize traffic transmission in a longer time dimension,approximate the maximum signal-to-noise ratio algorithm in throughput performance,and increase system throughput by about 14% under heavy load.At the same time,the new algorithm is accurate.Quantitative computation achieves a self-adaption match between the expected traffic rate and the actual scheduling rate.…”
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An active learning driven deep spatio-textural acoustic feature ensemble assisted learning environment for violence detection in surveillance videos by Duba Sriveni, Dr.Loganathan R

“…Additionally, to ensure the scalability of the solution, it employs an active learning concept that retains optimally sufficient frames for further computation and thus reduces computational costs decisively. …”
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ASKSQL: Enabling cost-effective natural language to SQL conversion for enhanced analytics and search by Arpit Bajgoti, Rishik Gupta, Rinky Dwivedi

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A non-sub-sampled shearlet transform-based deep learning sub band enhancement and fusion method for multi-modal images by Sudhakar Sengan, Praveen Gugulothu, Roobaea Alroobaea, Julian L. Webber, Abolfazl Mehbodniya, Amr Yousef

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Two-Dimensional DOA Estimation for Coprime Planar Arrays: From Array Structure Design to Dimensionality-Reduction Root MUSIC Algorithm by Yunhe Shi, Xiaofei Zhang, Shengxinlai Han

“…This approach effectively mitigates the challenges of 2D peak search, making it computationally efficient without sacrificing precision. …”
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Numerical Simulations of Scaling of the Chamber Dimensions of the Liquid Piston Compressor for Hydrogen Applications by Marina Konuhova, Valerijs Bezrukovs, Vladislavs Bezrukovs, Deniss Bezrukovs, Maksym Buryi, Nikita Gorbunovs, Anatoli I. Popov

“…The research examines the influence of compression chamber geometry, including variations in radius and height, on thermal behavior and energy efficiency. A computational model was developed using COMSOL Multiphysics^® 6.0, incorporating Computational Fluid Dynamics (CFD) and heat transfer modules to analyze thermodynamic processes. …”
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OVERVIEW OF METHODS FOR IMPROVING THE VISUAL QUALITY OF IMAGES AND VIDEOS IN ADVERSE WEATHER CONDITIONS by P. A. Lyakhov, A. S. Ionisyan, V. V. Liutova, A. R. Orazaev

“…Each method was studied in detail, their advantages and disadvantages were considered, which made it possible to come to the following conclusions: 1) methods that use physical models are very efficient, but are computationally complex, in this regard, this method is more appropriate to use for image and video post-processing. 2) Methods based on histograms are simpler, but they are only suitable for static weather conditions (fog, haze, haze). 3) The most promising are methods based on learning. …”
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EmoSDS: Unified Emotionally Adaptive Spoken Dialogue System Using Self-Supervised Speech Representations by Jaehwan Lee, Youngjun Sim, Jinyou Kim, Young-Joo Suh

“…In recent years, advancements in artificial intelligence, speech, and natural language processing technology have enhanced spoken dialogue systems (SDSs), enabling natural, voice-based human–computer interaction. …”
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