Mathematical analysis of Lassa fever epidemic with real data by Adnan Aslam, Takasar Hussain, Muhammad Ozair, Arfah Hafeez, Wedad Albalawi, Mohammed Zakarya, Nadir Omer

“…Seven dimensional mathematical model is considered as the system of ordinary differential equations. First, we compute the equilibrium point in which no disease exists then, after finding the reproduction number, both types of stabilities, local and global, of this equilibrium point is discussed. …”
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Improved feature reduction framework for sign language recognition using autoencoders and adaptive Grey Wolf Optimization by Rajeev Goel, Sandhya Bansal, Kavita Gupta

“…However, it struggles with “curse of dimensionality” due to excessive features resulting in prolonged training time and exhaustive computational demand. This paper proposes technique that integrates machine learning and swarm intelligence to effectively address this issue. …”
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Automatic Adaptive Algorithm for Delineation of Cerebral-Spinal Fluid Regions for Non-contrast Magnetic Resonance Imaging Volumetry and Cisternography in Mice by Ryszard Gomolka

“…The algorithm employs adaptive thresholding and region growing to accurately and repeatably delineate CSF space regions in 3D constructive interference steady-state (3D-CISS) images acquired using a 9.4 Tesla MR system and a cryogenically cooled transmit/receive resonator. Key steps include computing a bounding box enclosing the brain parenchyma in three dimensions, applying an adaptive intensity threshold, and refining CSF regions independently in sagittal, axial, and coronal planes. …”
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ASD: Interaction and socialisation through an adapted social network by Filipe Costa Pereira, Maisa Folgueral, Cibelle Amato, Valéria Farinazzo Martins

“…Additionally, research suggests a growing interest in technology among autistic children, with the use of computing devices showing potential for the development of social and emotional skills. …”
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FPGA Implementation of Real-Time Compressive Sensing with Partial Fourier Dictionary by Yinghui Quan, Yachao Li, Xiaoxiao Gao, Mengdao Xing

“…Traditionally, CS can be implemented using a high-level computer language in a personal computer (PC) or multicore platforms, such as graphics processing units (GPUs) and Digital Signal Processors (DSPs). …”
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Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey by Kamal Taha, Paul D. Yoo, Chan Yeun, Aya Taha

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Precision Security: Integrating Video Surveillance with Surrounding Environment Changes by Wenfeng Wang, Xi Chen, Guiwei Zhang, Jing Qian, Peng Wei, Boqian Wu, Hongwei Zheng

“…This article presents a brain-inspired computing of attention value of surrounding environment changes (EC) with a processes-based cognition model by introducing a ratio value λ of EC-implications within considered periods. …”
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A Review of Numerical Techniques for Frictional Contact Analysis by Govind Vashishtha, Sumika Chauhan, Riya Singh, Manpreet Singh, Ghanshyam G. Tejani

“…This review analyzes numerical techniques for frictional contact problems, highlighting their strengths and limitations in addressing inherent nonlinearities and computational demands. Finite element methods (FEM), while dominant due to versatility, often require computationally expensive iterative solutions. …”
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Qualified Digital Ecosystems As an Academic Information System Framework in The Industrial 4.0 by Ino Sulistiani, Nursaeni, Bobur Sobirov

“…This study addresses these gaps by implementing a comprehensive quality framework for AIS, integrating cloud computing for enhanced security and privacy, and employing the Web-Based Application Quality Model (WBAQM) as the primary development framework. …”
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New Heuristic Local Search Method for University Course Timetabling by Mohammad Sadegh Shiri, Mostafa Khorramizadeh, Vahid Ahmadi

“…A new metaheuristic approach is used in both phases of the new present method.Methodology: A feasible, high-quality solution is computed in the first phase of the new method. To this end, the hard constraints relating to the periods are considered, and a solution is computed that satisfies these hard constraints. …”
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The predictors of behavioral intention to use ChatGPT for academic purposes: evidence from higher education in Somalia by Ahmed-Nor Mohamed Abdi, Abukar Mukhtar Omar, Mohamed Hassan Ahmed, Abdullahi Abdulkadir Ahmed

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Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks by Saad Said Alqahtany, Asadullah Shaikh, Ali Alqazzaz

“…The focus of this paper aims to find the key features for developing an IDS that is reliable but also efficient in terms of computation. Therefore, Enhanced Grey Wolf Optimization (EGWO) for Feature Selection (FS) is implemented. …”
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Short-Term Traffic Prediction considering Spatial-Temporal Characteristics of Freeway Flow by Jiaqi Wang, Yingying Ma, Xianling Yang, Teng Li, Haoxi Wei

“…It can select upstream points that have a great impact on prediction point to reduce computation and increase accuracy in the next prediction work. …”
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qDATA - an R application implementing a practical framework for analyzing quantitative real-time PCR data by Adrian Ionascu, Alexandru Al. Ecovoiu, Mariana Carmen Chifiriuc, Attila Cristian Ratiu

“…The efficiency of our computing approach was tested using input Ct values corresponding to immune related gene expression evaluated in experimental infection of Drosophila melanogaster and Apis mellifera workers. …”
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Recent Advances in Graphene-Assisted Nonlinear Optical Signal Processing by Jian Wang, Xiao Hu

“…In this review article, we give a brief overview of our recent progress in graphene-assisted nonlinear optical device and their applications, including degenerate FWM based wavelength conversion of quadrature phase-shift keying (QPSK) signal, phase conjugated wavelength conversion by degenerate FWM and transparent wavelength conversion by nondegenerate FWM, two-input and three-input high-base optical computing, and high-speed gate-tunable terahertz coherent perfect absorption (CPA) using a split-ring graphene.…”
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RETRACTED ARTICLE: Conceptualising a channel-based overlapping CNN tower architecture for COVID-19 identification from CT-scan images by Ravi Shekhar Tiwari, Lakshmi D, Tapan Kumar Das, Kathiravan Srinivasan, Chuan-Yu Chang

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Automatic extraction and geographization of urban traffic event based on natural Chinese text data by Chenyu Hu, Hangbin Wu, Chaoxu Wei, Qianqian Chen, Han Yue, Wei Huang, Chun Liu, Ting Fu, Junhua Wang

“…Finally, we adopt methods for entity disambiguation and spatial computing. A case study of Shanghai is conducted, and the results show that our method is effective, which can make traffic events more complete and accurate in extraction, more multi-dimensional and fine-grained in geographization.…”
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Modern trends of digitalization of innovation process by E. N. Bykovskaya, G. P. Kharchilava, Yu. N. Kafiyatullina

“…Modern information technologies are characterized by high computing power, they take control of the organization, production, creation of innovations to a fundamentally different quality level.Currently, the success of competition is determined by the ability of organizations to quickly implement and commercialize innovations and obtain superprofits, in this regard it seems relevant to explore the possibilities of digital solutions and technologies for the effective management and management of innovation.The article analyzes the current state of the information technology industry and the information and communication technologies industry, on the basis of which the problems of the industry development have been identified, and proposals have been developed to use digital products to stimulate the innovation process.…”
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Deep Reinforcement Learning-Based Resource Allocation for QoE Enhancement in Wireless VR Communications by Georgios Kougioumtzidis, Vladimir K. Poulkov, Pavlos I. Lazaridis, Zaharias D. Zaharis

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A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing by Guowei Zhang, Jinrui Wang, Baokun Han, Sixiang Jia, Xiaoyu Wang, Jingtao He

“…The results show that the proposed DSF model can extract more powerful features and less computing time than other traditional methods.…”
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