Variance Entropy: A Method for Characterizing Perceptual Awareness of Visual Stimulus by Meng Hu, Hualou Liang

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Precision Healthcare for UTIs: Leveraging Machine Learning to Reduce Readmissions by Odai Mohammad Al-Jbour, Mohammad Alshraideh, Bahaaldeen Alshraideh

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EEG-Based Emotion Recognition Datasets for Virtual Environments: A Survey by Hussein Ali Hamzah, Kasim K. Abdalla

“…The proposed algorithms and models should be evaluated using data that include emotional ratings or labels. …”
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Differential Evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems by Ali Wagdy Mohamed, Abdulaziz S. Almazyad

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2-Layered Architecture of Vague Logic Based Multilevel Queue Scheduler by Supriya Raheja, Reena Dadhich, Smita Rajpal

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An Intelligent Diagnostic System to Analyze Early-Stage Chronic Kidney Disease for Clinical Application by N. I. Md. Ashafuddula, Bayezid Islam, Rafiqul Islam

“…This highlights its potential as a promising computer-aided diagnosis tool for doctors, enabling early interventions and improving patient outcomes.…”
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A Deep Learning Framework for Enhancing Recommender Systems With Dual-Feedback Integration by V. Lakshmi Chetana, Hari Seetha

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Extreme Gradient Boosting Beats In-Silico Identification of Proteins Potentially Associated With Alzheimer’s by Sadia Khalil, Wajid Arshad Abbasi, Syed Ali Abbas, Maryum Bibi, Saiqa Andleeb, Amsa Shabir

“…Python code for feature extraction, training, and evaluating our proposed models together with the dataset is available at the URL: https://sourceforge.net/projects/alzheimer-associated-proteins/files/.…”
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Assessing the effect of model specification and prior sensitivity on Bayesian tests of temporal signal. by John H Tay, Arthur Kocher, Sebastian Duchene

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Improved Deviation Sparse Fuzzy C-Means-2D Cumulative Sum Average Filter and Modified Sine Cosine Crow Search Algorithm-Wavelet Extreme Learning Machine for Brain Tumor Detection a... by Suvashisa Dash, Satyasis Mishra, Mohammed Siddique, Demissie J. Gelmecha, Ram Sewak Singh

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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

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Enhanced Retinal Vessel Segmentation Using Dynamic Contrast Stretching and Mathematical Morphology on Fundus Images by El-Mehdi Chakour, Yasmine Mrad, Anass Mansouri, Yaroub Elloumi, Idriss Benatiya Andaloussi, Mohamed Hedi Bedoui, Ali Ahaitouf

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A Sentence-Level Encoder–Decoder Architecture for Designing an Administrative Roman Urdu Chatbot by Muhammad Nazam Maqbool, Rana Muhammad Saleem, Nadeem Sarwar, Muhammad Ibrahim, Muhammad Shadab Alam Hashmi

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A Multiattention ResUNet and Modified U-Net Architecture for Liver Tumor Segmentation by Justice Kwame Appati, Nathanael Ayirebaje Azuponga, Leonard Mensah Boante, Joseph Agyeapong Mensah

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Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis by Ahmed Alfakeeh, Mhd Saeed Sharif, Abin Daniel Zorto, Thiago Pillonetto

“…This research aims to develop and evaluate several classification approaches to improve predicting sepsis and reduce the tendency of underdiagnosis in computer-aided predictive tools. …”
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A Hybrid Expert System for Estimation of the Manufacturability of a Notional Design by Alexander Sommers, Shahram Rahimi, Tonya McCall, Emily Wall, Althea Henslee, Larry Dalton, Paul D. Babin, Nathan Watson, Gehendra Sharma, Milan D. Parmar

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Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering by Hanung Nindito Prasetyo, Riyanarto Sarno, Dedy Rahman Wijaya, Raden Budiraharjo, Indra Waspada, Kelly Rossa Sungkono, Abdullah Faqih Septiyanto

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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Basma Jumaa Saleh, Zaid Omar, Muhammad Amir As’ari, Vikrant Bhateja, Lila Iznita Izhar

“…Automated segmentation of COVID-19 lung computed tomography (CT) scans is a crucial diagnostic tool that aids physicians in providing accurate and timely diagnoses, as it contains significant radiomics information. …”
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GTN-GCN: Real-Time Traffic Forecasting Using Graph Convolutional Network and Transformer by Sadia Naj Jinia, Sumaiya Binte Azad, Rima Akter, Taivan Reza Dipto, Md. Khaliluzzaman

“…The proposed model was trained and evaluated using the METR-LA dataset, which comprises traffic data from 207 sensors at 5-minute intervals. …”
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Software Defect Prediction through Neural Network and Feature Selections by Mutasem Shabeb Alkhasawneh

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