Variational Methods in Optical Quantum Machine Learning by Marco Simonetti, Damiano Perri, Osvaldo Gervasi

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O2O-PLB: A One-to-One-Based Optimizer With Priority and Load Balancing Mechanism for Resource Allocation in Fog-Cloud Environments by V. C. Bharathi, S. Syed Abuthahir, Monelli Ayyavaraiah, G. Arunkumar, Usama Abdurrahman, Sardar Asad Ali Biabani

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A Review of Digital Pixel Sensors by Md Rahatul Islam Udoy, Shamiul Alam, Md Mazharul Islam, Akhilesh Jaiswal, Ahmedullah Aziz

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Automatic Classification of Difficulty of Texts From Eye Gaze and Physiological Measures of L2 English Speakers by Javier Melo, Leigh Fernandez, Shoya Ishimaru

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FBATCNet: A Temporal Convolutional Network With Frequency Band Attention for Decoding Motor Imagery EEG by Shuaishuai Ma, Jidong Lv, Wenjie Li, Yan Liu, Ling Zou, Yakang Dai

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A Comparative Study on Solving Optimization Problems With Exponentially Fewer Qubits by David Winderl, Nicola Franco, Jeanette Miriam Lorenz

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Fixed-Point Grover Adaptive Search for Quadratic Binary Optimization Problems by Akos Nagy, Jaime Park, Cindy Zhang, Atithi Acharya, Alex Khan

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A High-Efficiency Charge-Domain Compute-in-Memory 1F1C Macro Using 2-bit FeFET Cells for DNN Processing by Nellie Laleni, Franz Muller, Gonzalo Cunarro, Thomas Kampfe, Taekwang Jang

“…IEEE Journal on Exploratory Solid-State Computational Devices and Circuits…”
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Optimization of Leaky Integrate-and-Fire Neuron Circuits Based on Nanoporous Graphene Memristors by Kannan Udaya Mohanan, Seyed Mehdi Sattari-Esfahlan, Eou-Sik Cho, Chang-Hyun Kim

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An Efficient Edge-Based System for Nucleated Oval-Shaped Red Blood Cell Counting by Carlo Centofanti, Daniele Lozzi, Ciro Cococcetta, Andrea Marotta

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Time-Efficient Contact Consistent Whole-Body Control Framework via Reduced-Dimension Dynamics Construction by Junewhee Ahn, Jaesug Jung, Hokyun Lee, Jaeheung Park

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Pasithea-1: An Energy-Efficient Sequential Reconfigurable Array With CPU-Like Programmability by Tobias Kaiser, Esther Gottschalk, Kai Biethahn, Friedel Gerfers

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Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking by Mahmoud Elmezain, Lyes Saad Saoud, Atif Sultan, Mohamed Heshmat, Lakmal Seneviratne, Irfan Hussain

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Detection and Classification Method for Early-Stage Colorectal Cancer Using Dyadic Wavelet Packet Transform by Daigo Takano, Hajime Omura, Teruya Minamoto

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A Novel Telerehabilitation System for Physical Exercise Monitoring in Elderly Healthcare by Muhammad Abrar Ashraf, Shaheryar Najam, Touseef Sadiq, Shabbab Algamdi, Hanan Aljuaid, Hameedur Rahman, Ahmad Jalal

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A Spatiotemporal Feature Extraction Technique Using Superlet-CNN Fusion for Improved Motor Imagery Classification by Neha Sharma, Manoj Sharma, Amit Singhal, Nuzhat Fatema, Vinay Kumar Jadoun, Hasmat Malik, Asyraf Afthanorhan

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Hybrid Method for Point Cloud Classification by Abdurrahman Hazer, Remzi Yildirim

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Leaf Classification for Sustainable Agriculture and In-Depth Species Analysis by Sara Mumtaz, Shabbab Algamdi, Haifa F. Alhasson, Dina Abdulaziz Alhammadi, Ahmad Jalal, Hui Liu

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Finding Neural Biomarkers for Motor Learning and Rehabilitation Using an Explainable Graph Neural Network by J. Han, A. Embs, F. Nardi, S. Haar, A. A. Faisal

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A Review on Software-Defined Networking for Internet of Things Inclusive of Distributed Computing, Blockchain, and Mobile Network Technology: Basics, Trends, Challenges, and Future... by Shakila Shafiq, Md. Sazzadur Rahman, Shamim Ahmed Shaon, Imtiaz Mahmud, A. S. M. Sanwar Hosen

“…This study is aimed at reviewing the literature on SDN for IoT (SDN-IoT) published from 2014 to 2022 and presenting insights and directions for future research, with a particular focus on cloud, fog, and edge computing. The study collects data from Science Direct, IEEE Explore, and Google Scholar and objectively selects 126 papers and conducts metadata analysis. …”
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