Performance analysis of diffusive thermo and thermo diffusive aspect in rate type chemically reactive liquid subject to variable fluid properties by Cyrus Raza Mirza, M. Waqas, Saja Mohammad Almohammadi, M. Zubair, Umid Turdialiyev, Nurnadiah Zamri, Nidhal Ben Khedher

“…Such rising relevance is noticeable in diverse utilizations, for illustration food processing techniques, scattering and formation of haze, damage of crop via freezing temperatures, cooling towers and the distribution of moisture together with temperature in both orchards and agricultural fields. …”
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LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems by Muhammad Usama Tanveer, Kashif Munir, Madiha Amjad, Hasan J. Alyamani, Amine Bermak, Atiq Ur Rehman

“…This ensemble strategy ensures an optimal balance between detection performance and computational resource utilization, making it well-suited for IoT networks, where processing power and memory are limited. …”
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AMR‐Wind: A Performance‐Portable, High‐Fidelity Flow Solver for Wind Farm Simulations by Michael B. Kuhn, Marc T. Henry de Frahan, Prakash Mohan, Georgios Deskos, Matt Churchfield, Lawrence Cheung, Ashesh Sharma, Ann Almgren, Shreyas Ananthan, Michael J. Brazell, Luis A. Martínez‐Tossas, Regis Thedin, Jon Rood, Philip Sakievich, Ganesh Vijayakumar, Weiqun Zhang, Michael Sprague

“…It is a highly scalable code designed for parallel high‐performance computing with a specific focus on performance portability for current and future computing architectures, including graphical processing units (GPUs). …”
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Secure and efficient cloudlet networks: blockchain integration with agent-based proof of trust mechanism by Nothile C. Masango, Jeffrey O. Agushaka, Mercy C. Amaefule, Olutosin Taiwo, Peiying Zhang, Absalom E. Ezugwu, Kashif Saleem, Aseel Smerat, Laith Abualigah

“…These applications generate massive amounts of data, challenging the storage, computational capacity, and battery life of mobile devices. …”
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Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG by Jie Zhang, Yihui Zhao, Fergus Shone, Zhenhong Li, Alejandro F. Frangi, Sheng Quan Xie, Zhi-Qiang Zhang

“…., muscle forces and joint moments) which cannot be readily measured in vivo. Physics-based computational neuromusculoskeletal models can interpret the dynamic interaction between neural drive to muscles, muscle dynamics, body and joint kinematics and kinetics. …”
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iKcr-DRC: prediction of lysine crotonylation sites in proteins based on a novel attention module and DenseNet by Xin Wei, Xin Wei, Xin Wei, Siqin Hu, Jian Tu, Muhammad Akmal Remli, Muhammad Akmal Remli

“…IntroductionLysine crotonylation (Kcr) is a recently identified post-translational modification that predominantly occurs on lysine residues and plays a crucial role in regulating gene expression, cellular metabolism, and various biological processes. Increasing evidence has linked Kcr to the pathogenesis of major diseases such as cancer, highlighting the importance of accurately identifying Kcr sites for understanding disease mechanisms and normal cellular function.MethodsIn this study, we present a novel deep learning-based computational model, named iKcr-DRC, for the accurate prediction of lysine crotonylation sites. …”
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A Tree Crown Segmentation Approach for Unmanned Aerial Vehicle Remote Sensing Images on Field Programmable Gate Array (FPGA) Neural Network Accelerator by Jiayi Ma, Lingxiao Yan, Baozhe Chen, Li Zhang

“…Deep learning technology has achieved good results in tree crown segmentation and species classification, but relying on high-performance computing platforms, edge calculation, and real-time processing cannot be realized. …”
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Applications of Complex Uncertain Sequences via Lacunary Almost Statistical Convergence by Xiu-Liang Qiu, Kuldip Raj, Sanjeev Verma, Samrati Gorka, Shixiao Xiao, Qing-Bo Cai

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A Robust Image Encryption Scheme Based on Quantum Walks and Dynamic DNA for Secure Cloud Applications by Ahmed A. Abd El-Latif, May Almousa, Bassem Abd-El-Atty

“…Finally, after decoding, the pixel permutation and substitution processes are applied to produce the final cipher image. …”
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Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

“…In this research, a hybrid approach utilises techniques with quantum computing capabilities to tackle complex problems that are not amenable to conventional ML algorithms and to minimise computational expenses. …”
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A hybrid deep learning model approach for automated detection and classification of cassava leaf diseases by G. Sambasivam, G. Prabu kanna, Munesh Singh Chauhan, Prem Raja, Yogesh Kumar

“…The novelty of the hybrid model lies in its ability to combine DenseNet169’s feature reuse capability with EfficientNetB0’s computational efficiency, resulting in improved accuracy and scalability. …”
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Scalable Fabrication of Neuromorphic Devices Using Inkjet Printing for the Deposition of Organic Mixed Ionic‐Electronic Conductor by Fabian Gärisch, Vincent Schröder, Emil J. W. List‐Kratochvil, Giovanni Ligorio

“…Abstract Recent advancements in artificial intelligence (AI) have highlighted the critical need for energy‐efficient hardware solutions, especially in edge‐computing applications. However, traditional AI approaches are plagued by significant power consumption. …”
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A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution by Afnan Ahmed Adil, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf

“…This multirobot architecture is adaptable, allowing configuration of team size for collaborative tasks based on load requirements and environmental complexity. By integrating computer vision and deep learning for visual processing, and YOLOv2 for object detection, the system efficiently identifies, picks, and transports objects to designated locations, demonstrating the scalability of multi-robot framework for future applications in logistics automation, collaborative manufacturing, and dynamic human-robot interaction scenarios.…”
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R-SYSTEM AND INFORMATION TECHNOLOGIES AS TOOLS FOR ECONOMIC INTELLIGENCE IN ORGANIZATIONS by A. Volchkov, N. Struzhkin

“…Significant growth of computing power, evolution of intelligent data processing algorithms and development of simulation modeling allow to use R-system methods in the most efficient way.…”
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Simulation of Ferrofluids in Confined Domains by T.V. Lyutyy, V.V. Reva, A.Yu. Polyakov

“…The equilibrium properties of ferromagnetic fluids are investigated using the method of molecular dynamics and techniques for parallel computing with graphics processing units. In particular, the magnetization curve and the magnetic susceptibility of such medium are studied. …”
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Intelligence analysis and application for satellite imagery of big data by Jinfang ZHANG, Xiaohui HU, Hui ZHANG, Rui WANG, Haichang LI

“…Imaging capability has been greatly improved along with the development of remote sensing technology,the image information extraction based on deep learning raises to a new level,and cloud computing makes it possible of processing satellite imagery of big data.These three technologies activated the research on the expected potential commercial and military value,many research institutions joined the strength competition,and attracted a large number of venture capital.The potential value analysis and application based on satellite imagery of big data were summarized,and the next possible technological breakthroughs and the future direction of development were presented.…”
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Lightweight Pairwise Key Distribution Scheme for IoTs by Kanwalinderjit Kaur

“…Embedding a pairwise key distribution approach in IoT systems is challenging as IoT devices have limited resources, such as memory, processing power, and battery life. This paper presents a secure and lightweight approach that is applied to IoT devices that are divided into Voronoi clusters. …”
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Corrected Inertial Torques of Gyroscopic Effects by Ryspek Usubamatov, Dennis Allen

“…New mathematical models for the gyroscopic inertial torques were derived with incorrect processing of the integral equations that give distorted results. …”
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Research and application practice of digital intelligent technology and complete set of equipment for efficient coalmining by Guofa WANG, Jinhu ZHANG, Huaiwei REN, Yibo DU, Desheng ZHANG, Ruyu YAN, Xiang YU

“…High-power rapid advancement equipment suitable for ultra-long workfaces has been developed, and a multi-area synchronous advancement process system covering all aspects of support, mining, and transportation has been established. …”
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High-Speed All-Optical Encoder and Comparator at 120 Gb/s Using a Carrier Reservoir Semiconductor Optical Amplifier by Amer Kotb, Kyriakos E. Zoiros

“…All-optical encoders and comparators are essential components for high-speed optical computing, enabling ultra-fast data processing with minimal latency and low power consumption. …”
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