Machine Learning Based Method for Insurance Fraud Detection on Class Imbalance Datasets With Missing Values by Ahmed A. Khalil, Zaiming Liu, Ahmed Fathalla, Ahmed Ali, Ahmad Salah

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Abnormality detection in nailfold capillary images using deep learning with EfficientNet and cascade transfer learning by Mona Ebadi Jalal, Omar S. Emam, Cristián Castillo-Olea, Begoña García-Zapirain, Adel Elmaghraby

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A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification by Abdelmgeid A. Ali, Mohamed T. Hammad, Hassan S. Hassan

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Bidimensional Increment Entropy for Texture Analysis: Theoretical Validation and Application to Colon Cancer Images by Muqaddas Abid, Muhammad Suzuri Hitam, Rozniza Ali, Hamed Azami, Anne Humeau-Heurtier

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IoT-based automated system for water-related disease prediction by Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Surajit mondal, G S Pradeep Ghantasala, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

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A Markov decision optimization of medical service resources for two-class patient queues in emergency departments via particle swarm optimization algorithm by Chia-Hung Wang, Rong Tian, Kun Hu, Yu-Tin Chen, Tien-Hsiung Ku

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Data Clustering Improves Siamese Neural Networks Classification of Parkinson’s Disease by Mohamed Shalaby, Nahla A. Belal, Yasser Omar

“…The significance of this study is in the enhanced performance achieved due to the clustering of data, which shows a promising framework to enhance the diagnostic capability of computer-aided disease diagnostic tools.…”
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Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data by Anum Abdul Salam, Muhammad Zeeshan Asaf, Muhammad Usman Akram, Noah Musolff, Samavia Khan, Bassem Rafiq, Babar Rao

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Ultra-Low Static Power Circuits Addressing the Fan-Out Problem of Analog Neuron Circuits in Spiking Neural Networks by Jonghyuk Park, Woo Young Choi

“…Previous solutions to the fan-out problem, including the incorporation of delay-capacitors, inverter chains, or operational amplifiers, require substantial area and consume considerable static power, thereby impeding low-power computing for event-driven operations in SNN. To address this issue, we propose the integration of spike-based voltage buffers (S-VBs) and pull-down pulse width modulation (PD-PWM) circuits. …”
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Identifying the Factors Affecting Student Academic Performance and Engagement Prediction in MOOC Using Deep Learning: A Systematic Literature Review by Shahzad Rizwan, Chee Ken Nee, Salem Garfan

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Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers by C. Rajathi, P. Rukmani

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Entropy-extreme concept of data gaps filling in a small-sized collection by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko

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Socioeconomic correlates of urban mobility trends in two Australian cities during transitional periods of the COVID-19 pandemic by Pratyush Kollepara, Subhrasankha Dey, Martin Tomko, Erika Martino, Rebecca Bentley, Michele Tizzoni, Nicholas Geard, Cameron Zachreson

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An Examination of SuperDARN Backscatter Modes Using Machine Learning Guided by Ray‐Tracing by B. S. R. Kunduri, J. B. H. Baker, J. M. Ruohoniemi, E. G. Thomas, S. G. Shepherd

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Enhancing Passive WiFi Device Localization Through Packet Timing Analysis by Omar Dhawahir, Murat Torlak

“…., coarse RTT/fine RTT) are utilized as a more precise RTT estimate for localization computations. Simulations and experiments conducted under diverse multipath conditions demonstrate the algorithm’s accuracy in 2-D positioning, achieving an average accuracy of as low as 0.24 m in simulations and 1.18 m in experiments when the Wi-Fi router and device are separated by distances of up to 18 m. …”
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Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects by Frank G. Zollner, Marek Kocinski, Laura Hansen, Alena-Kathrin Golla, Amira Serifovic Trbalic, Arvid Lundervold, Andrzej Materka, Peter Rogelj

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A Novel Hierarchical/Decentralized AGC Scheme for Power Systems Integrated With Large-Scale Solar Power Plants by Siavash Yari, Masood Mottaghizadeh, Innocent Kamwa, Dmitry Rimorov

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Fault Prediction and Recovery Using Machine Learning Techniques and the HTM Algorithm in Vehicular Network Environment by Salah Zidi, Bechir Alaya, Tarek Moulahi, Amal Al-Shargabi, Salim El Khediri

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Exploring Community Resilience: The Joint Roles of Environmental Knowledge and Risk Perception in Pro-Environmental Behavior by Yu Zhang, Zihao Dong, Yanying Mao, Xiaosen Huo, Liu Wu

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Smell-ML: A Machine Learning Framework for Detecting Rarely Studied Code Smells by Esraa Hamouda, Abeer El-Korany, Soha Makady

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