Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy by Sadia Zafar, Muhammad Asif, Maaz Bin Ahmad, Taher M. Ghazal, Tauqeer Faiz, Munir Ahmad, Muhammad Adnan Khan

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MC64-ClustalWP2: a highly-parallel hybrid strategy to align multiple sequences in many-core architectures. by David Díaz, Francisco J Esteban, Pilar Hernández, Juan Antonio Caballero, Antonio Guevara, Gabriel Dorado, Sergio Gálvez

“…It must be stressed that in such a process, the detailed analysis of both the software and hardware features and peculiarities is of paramount importance to reveal key points to exploit and optimize the full potential of parallelism in many-core CPU systems. …”
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Transforming mining energy optimization: a review of machine learning techniques and challenges by Sravani Parvathareddy, Abid Yahya, Lilian Amuhaya, Ravi Samikannu, Raymond Sogna Suglo

“…Mining is among the most energy-intensive industrial sectors, with processes such as drilling, crushing,and ore processing driving substantial operational costs and environmental impacts. …”
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OPTIMIZATION OF STEPPER MOTOR CONTROL IN VARIOUS OPERATING MODES by O. I. Laktionov, A. S. Yanko

“…Particular attention was paid to the application of additive technologies (3D printing using a P1P printer and PETg LBL plastic) for rapid prototyping and the fabrication of housing and mounting elements, which significantly optimized the development process. The obtained results contribute to a deeper understanding of the capabilities of various hardware and software tools for the effective control of stepper motors in robotic platforms, considering the influence of external factors and the specifics of remote control. …”
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Transfer Learning-Based Anomaly Detection System for Autonomous Vehicle by Md. Humayun Kabir, Mohammad Nadib Hasan, Ahmad, Hassan Jaki

“…A system that combines the control of a physical process with computing technology and communication networks is called a cyber–physical system (CPS). …”
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The Role of Cloud Technologies in Modern Development of Banking Institutions by Serhiy Shkarlet, Maksym Dubyna, Roman Shchur, Olena Shyshkina

“…The process of digitalization of the financial services sector today is due to objective reasons related to the inevitable development of digital technologies and their active implementation by banking institutions. …”
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Graph attention based on contextual reasoning and emotion-shift awareness for emotion recognition in conversations by Juan Yang, Puling Wei, Xu Du, Jun Shen

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A data matching algorithm based on instruction pipeline by Yang Jiajia, Li Zheng, Zheng Er, Zhao Jing, Yan Wei, Liu Jin

“…However, in the data processing process of high-performance computing, the low performance of algorithm matching cannot meet the high-performance requirements of algorithms in the big data processing environment, resulting in limited application scope. …”
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Machine Learning-Driven Optimization for Solution Space Reduction in the Quadratic Multiple Knapsack Problem by Diego Yanez-Oyarce, Carlos Contreras-Bolton, Fredy Troncoso-Espinosa, Carlos Rey

“…Finally, we conduct comparison experiments, demonstrating that using a ML model is highly beneficial for reducing computing times and achieving rapid convergence.…”
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SGCM: Semantic and Geometric Consistency for Robust Aerial Image Matching by Xiangzeng Liu, Guanglu Shi, Chi Wang, Xiaodong Zhang, Qiguang Miao

“…Most current approaches primarily focus on low-level image features, while overlooking the potential of high-level semantic information to guide the matching process, limiting the robustness and accuracy of these methods in complex scenarios. …”
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Understanding Medical 4.0 implementation through enablers: An integrated multi-criteria decision-making approach by Md Nahid Akhtar, Abid Haleem, Mohd Javaid, Mohd Vasif

“…This paper introduces and delves into the primary technologies driving this transformative process. The importance of these critical enablers in driving success is assessed using the fuzzy TOPSIS and fuzzy MARCOS methods, which established a quantitative framework for decision-making and prioritisation within the Medical 4.0 landscape. …”
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Hybrid Deep Learning Approach for Automated Sleep Cycle Analysis by Sebastián Urbina Fredes, Ali Dehghan Firoozabadi, Pablo Adasme, David Zabala-Blanco, Pablo Palacios Játiva, Cesar A. Azurdia-Meza

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How is public transit in the megacity peripheral relocatees’ area in China? Captive transit rider and dynamic modal accessibility gap analytics in a peripheral large-scale resident... by Jinping Guan, Kai Zhang, Shuang Zhang, Yizhou Chen

“…In the process of Chinese megacity suburbanization, central-city substandard housing is demolished. …”
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Towards grassroots sustainable development using human centered design and participatory rural appraisal: A study in two rural Indian villages by Krishnendu S, Hitarth Anand Rohra, Kanakasabapathy P, Krishna Nandanan, Vinod V.T Padil

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Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data by Chien Wei Oei, Eddie Yin Kwee Ng, Matthew Hok Shan Ng, Yam Meng Chan, Vinithasree Subbhuraam, Lai Gwen Chan, U. Rajendra Acharya

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Improvement of beam type element models of welded tubular junctions for fatigue analysis using artificial neural networks by JesusAngel Perez, Ingo Kaiser, Francisco Badea

“…The use of numerical methods for structural analysis has been increasingly integrated within the design process in different engineering fields over the last decades, inasmuch as the capacity of the computing resources have growth. …”
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A novel interpreted deep network for Alzheimer’s disease prediction based on inverted self attention and vision transformer by Wardah Ibrar, Muhammad Attique Khan, Ameer Hamza, Saddaf Rubab, Omar Alqahtani, M. Turki-Hadj Alouane, Sokea Teng, Yunyoung Nam

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Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks by C. Christy, A. Nirmala, A. Mary Odilya Teena, A. Isabella Amali

“…Regarding feature selection, MLIDS-RFA uses machine-learning approaches to enhance the detection process. The outcome is a reduction in the amount of processing overhead and a shortening of the response times. …”
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Ramp Metering for a Distant Downstream Bottleneck Using Reinforcement Learning with Value Function Approximation by Yue Zhou, Kaan Ozbay, Pushkin Kachroo, Fan Zuo

“…To deal with the intimidating computational cost associated with the multidimensional continuous state space, the value function of actions is approximated by an artificial neural network, rather than a lookup table. …”
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Multi-Objective Optimization Design of Dual-Spindle Component Based on Coupled Thermal–Mechanical–Vibration Collaborative Analysis by Xiaoliang Lin, Yiming Xie, Xiaolei Deng, Jing Tian, Yue Han, Peng Wang

“…According to the theories of thermal characteristics, statics, and dynamics, the solution of thermal-mechanical coupling deformation and the solution of vibration characteristics under prestress are repeatedly conducted, that are working collaboratively with each process of parameters sensitivity computing, selection of design variables, central composite design, and multi-objective joint optimization. …”
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