PyGenAlgo: A simple and powerful toolkit for genetic algorithms by Michail D. Vrettas, Stefano Silvestri

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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

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Hardware Acceleration of Singular Spectral Analysis: A Case Study on NQR Spectroscopy by K. Thulasiram Varma, Rangababu Peesapati, Ch. V. Rama Rao

“… Singular Spectral Analysis (SSA) is a computationally intensive approach to denoise and detect a time-series signal. …”
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Generalized pseudo inverse kinematics at singularities for developing five-axes CNC machine tool postprocessor by Chu Anh My, Vuong Xuan Hai

“…The technique is then used for developing post processor algorithm of five-axes CNC machine tool. …”
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Server consolidation: A technique to enhance cloud data center power efficiency and overall cost of ownership by Mueen Uddin, Mohammed Hamdi, Abdullah Alghamdi, Mesfer Alrizq, Mohammad Sulleman Memon, Maha Abdelhaq, Raed Alsaqour

“…The cloud computing paradigm is instigated from grid and parallel computing models as it uses virtualization, server consolidation, utility computing, and other computing technologies and models for providing better information technology solutions for large-scale computational data centers. …”
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Noise estimation in medical images based on fast discrete curvelet transform via wrapping by R. Girija, H. Singh, G. Abirami

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Resistive Switching Acceleration Induced by Thermal Confinement by Alexandros Sarantopoulos, Kristof Lange, Francisco Rivadulla, Stephan Menzel, Regina Dittmann

“…Abstract Enhancing the switching speed of oxide‐based memristive devices at a low voltage level is crucial for their use as non‐volatile memory and their integration into emerging computing paradigms such as neuromorphic computing. …”
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A numerical method for parallel calculation of the positional characteristic for error correction in a polyalphabetic polynomial modular code by I.A. Kalmykov, A.A. Olenev, N.V. Kononova, T.A. Peleshenko, N.K. Chistousov

“…As a result, an increase in the productivity of computing systems is achieved. The bases of polyalphabetic modular codes are equal, independent, and serve as a basis for constructing arithmetic codes that detect and correct errors that occur in the calculation process. …”
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Accelerating Inference in Retrieval-Augmented Generation Models for Long-Form Question Answering via Dynamic Token Pruning by Wooseok Kim, Gyunyeop Kim, Sangwoo Kang

“…The resulting pruned representations are then passed to the decoder, significantly reducing the cross-attention computations and thereby accelerating the overall inference process. …”
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A Post-Quantum Public-Key Signcryption Scheme over Scalar Integers Based on a Modified LWE Structure by Mostefa Kara, Mohammad Hammoudeh, Abdullah Alamri, Sultan Alamri

“…Although a few signcryption schemes exist that combine these operations into a single, more efficient process, they typically rely on complex vector, matrix, or polynomial-based structures. …”
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Optimization strategy of the emerging memristors: From material preparation to device applications by Kaiyun Gou, Yanran Li, Honglin Song, Rong Lu, Jie Jiang

“…Neuromorphic computing, which mimics the computational paradigms of the human brain, offers an efficient and energy-saving way to process large datasets in parallel. …”
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The human-on-the-loop evaluation of multiobjective optimization algorithms for solving a real-world problem that integrates the food-energy-water nexus security and climate change... by Isaac Okola, Daniel Orwa Ochieng, Evans Kirimi Miriti, Gilbert Ouma Ong'isa

“…Such research areas include incorporating machine learning to predict, using performance data, the most suitable algorithm to solve a specific problem, and advancing interactive learning and user adjustments of the optimization process.…”
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Evaluation of machine learning-based regression techniques for prediction of diabetes levels fluctuations by Badriah Alkalifah, Muhammad Tariq Shaheen, Johrah Alotibi, Tahani Alsubait, Hosam Alhakami

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Leveraging VOSviewer approach for mapping, visualisation, and interpretation of crisis data for disaster management and decision-making by Umar Ali Bukar, Md Shohel Sayeed, Oluwatosin Ahmed Amodu, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Mohamed Othman

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Automated Prediction of Good Dictionary EXamples (GDEX): A Comprehensive Experiment with Distant Supervision, Machine Learning, and Word Embedding-Based Deep Learning Techniques by Muhammad Yaseen Khan, Abdul Qayoom, Muhammad Suffian Nizami, Muhammad Shoaib Siddiqui, Shaukat Wasi, Syed Muhammad Khaliq-ur-Rahman Raazi

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AI-Based Ransomware Detection: A Comprehensive Review by Jannatul Ferdous, Rafiqul Islam, Arash Mahboubi, Md Zahidul Islam

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Pest classification: Explainable few-shot learning vs. convolutional neural networks vs. transfer learning by Nitiyaa Ragu, Jason Teo

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Research of Green Supervision and Service Project System Based on the Cloud Service by Qiuhong Ye, Jiangbo Zou

“…The construction of network infrastructure plays a key role in the expansion of the telecommunications business，but its infrastructure projects lack uniform standards and effective protection of the environment in the process of planning，implementation，evaluation and management，resulting in a waste of resources，inefficiency， environmental pollution and other problems in the implementing process of the projects. …”
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Research and verification of cement smart factory solution based on 5G MEC by Bo GAO, Ke MA, Jianmin ZHANG, Guirong DENG, Zhenhan ZANG

“…With the continuous advancement of the new industrialization process, how 5G can empower industrial digital transformation and help enterprises achieve industrial upgrading has received more and more attention.According to the cement production process, the demand of the industry was analyzed, a cement smart factory solution based on 5G multi-access edge computing (MEC) was proposed, and typical 5G application scenarios were given.Combined with actual commercial cases, the detailed deployment networking and security protection solutions were introduced, and the significant effect of the solution in helping enterprises to reduce costs and increase efficiency was verified.It provided a reference for the 5G MEC scenario application in the cement building materials industry and even the process industry.…”
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An Artificial Intelligence Solution for Automated Dental Inspection and Charting by M.A. Moufti, M. Abu Talib, S. Al Mokdad, A. Alhouria, M. Alsaffarini, N. Almahmeed, S. Eldessouky, W. Kharoufah, Q. Nasir

“…Attempts to automate charting using AI have focused on computer vision of radiographs, which does not replace visual inspection and has limitations in community screening settings. …”
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