Embedded Parallelism Enabling Ultralow-Power Zigbee Voice Communications by A. Meliones, E. Touloupis, J. Perello

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SLFCNet: an ultra-lightweight and efficient strawberry feature classification network by Wenchao Xu, Yangxu Wang, Jiahao Yang

“…Nevertheless, existing object detection methods struggle with substantial computational demands, high resource utilization, and reduced detection efficiency. …”
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A Method for Run-Time Prediction of On-Chip Thermal Conditions in Dynamically Reconfigurable SOPCs by Dimple Sharma, Lev Kirischian

“…RTSA assumes the tasks to have multiple implementation variants, called Application Specific Processing (ASP) circuit variants, which vary in hardware resources, operating frequency, and power consumption. …”
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Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach by Olamilekan Shobayo, Sidikat Adeyemi-Longe, Olusogo Popoola, Bayode Ogunleye

“…By leveraging advanced natural language processing models like GPT-4 and FinBERT, alongside a traditional machine learning model, Logistic Regression, we aim to classify market sentiment, generate sentiment scores, and predict market price movements. …”
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Video completion in the presence of moving subjects based on segmentation using Neutrosophic sets by Amanna Ghanbari Talouki, Abbas Koochari, Seyyed Ahmad Edalatpanah

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Intervention of the Koo-Kleinstreuer and Li Model in Nanofluid Flow over Magnetic Dipole Centered Curved Sheet and Optimizing Entropy using Response Surface Methodology by K.G. Vidhya, F. Almeida, P. Kumar, B. Nagaraja

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Graph neural networks embedded with domain knowledge for cyber threat intelligence entity and relationship mining by Gan Liu, Kai Lu, Saiqi Pi

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Joint classification and regression with deep multi task learning model using conventional based patch extraction for brain disease diagnosis by Padmapriya K., Ezhumalai Periyathambi

“…Magnetic resonance imaging (MRI) is increasingly used in clinical score prediction and computer-aided brain disease (BD) diagnosis due to its outstanding correlation. …”
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Research on channel estimation based on joint perception and deep enhancement learning in complex communication scenarios by Xin Liu, Shanghong Zhao, Yanxia Liang, Shahid Karim

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Improving drug–target affinity prediction by adaptive self-supervised learning by Qing Ye, Yaxin Sun

“…Computational drug-target affinity prediction is important for drug screening and discovery. …”
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PSR-LeafNet: A Deep Learning Framework for Identifying Medicinal Plant Leaves Using Support Vector Machines by Praveen Kumar Sekharamantry, Marada Srinivasa Rao, Yarramalle Srinivas, Archana Uriti

“…In computer vision, recognizing plant pictures has emerged as a multidisciplinary area of interest. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

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Decoding covert visual attention to motion direction using graph theory features of EEG signals and quadratic discriminant analysis by Zeinab Rezaei, Mohammad-Mahdi Mohammadi, Mohammad Reza Daliri

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A progressive attention-based cross-modal fusion network for cardiovascular disease detection using synchronized electrocardiogram and phonocardiogram signals by Wei Peng Li, Joon Huang Chuah, Guo Jeng Tan, Chengyu Liu, Hua-Nong Ting

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Viability Study of SYCL as a Unified Programming Model for Heterogeneous Systems Based on GPUs in Bioinformatics by Manuel Costanzo

“… Bioinformatics and Computational Biology are disciplines that have used GPUs for over two decades to accelerate data processing in computational applications, where CUDA has been the most utilized programming language. …”
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FPGA-accelerated SpeckleNN with SNL for real-time X-ray single-particle imaging by Abhilasha Dave, Cong Wang, James Russell, Ryan Herbst, Jana Thayer

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Cword2vec: a novel morphological rule-based word embedding approach for Urdu text sentiment analysis by Saquib Khushhal, Abdul Majid, Syed Ali Abass, Rabia Riaz, Mohammad Babar, Shafiq Ahmad

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RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning by Chenglu Li, Wanli Xing, Yukyeong Song, Bailing Lyu

“…Lastly, we examined students' eye-tracking patterns, acceptance, and learning processes when using this ConvAI system to learn Algebra through a random experiment (nparticipant = 151). …”
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Heat Transfer Analysis of 2D Steady Laminar Mixed Convection CNTs Blood base Nanofluid Flow over a Stretching Surface: Analytical Simulation by Ali Rehman, Ma Chau Khun, Dolat Khan, Arshad Jan

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Role of ferroptosis-related IREB2 in the shared genetic etiology between smoking and facial aging: Insights from large-scale genome-wide cross-trait analysis by Xueyao Cai, Weidong Li, Wenjun Shi, Yuchen Cai, Jianda Zhou

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