Towards Scalable Distributed Framework for Urban Congestion Traffic Patterns Warehousing by A. Boulmakoul, L. Karim, M. Mandar, A. Idri, A. Daissaoui

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Classification of Textual E-Mail Spam Using Data Mining Techniques by Rasim M. Alguliev, Ramiz M. Aliguliyev, Saadat A. Nazirova

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Deep Learning in Medical Imaging: Chronological Evolution, Frameworks, Core Methods, and Recent Advances in Breast Cancer Segmentation (2023–2024) by Youness Riouali, Naoual El Aboudi, Nezha El Bahaoui, Othman Arsalan, Fouad Tijami, Hafid Hachi, Youssef Omor, Rachida Latib, Laila Benhlima

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A Distributed Bio-Inspired Method for Multisite Grid Mapping by I. De Falco, A. Della Cioppa, U. Scafuri, E. Tarantino

“…Computational grids assemble multisite and multiowner resources and represent the most promising solutions for processing distributed computationally intensive applications, each composed by a collection of communicating tasks. …”
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Amharic Language Image Captions Generation Using Hybridized Attention-Based Deep Neural Networks by Rodas Solomon, Mesfin Abebe

“…Image captioning is a task that combines both computer vision and natural language processing (NLP) domains. …”
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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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Color Image Denoising Based on Guided Filter and Adaptive Wavelet Threshold by Xin Sun, Ning He, Yu-Qing Zhang, Xue-Yan Zhen, Ke Lu, Xiu-Ling Zhou

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Evaluation of Sustainable Performance of Industry 4.0 Technologies Using a Novel Fuzzy OPLO-POCOD Method by Reza Sheikh, Soheila Senfi

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Diabetes Mellitus Disease Prediction and Type Classification Involving Predictive Modeling Using Machine Learning Techniques and Classifiers by B. Shamreen Ahamed, Meenakshi S. Arya, S. K. B. Sangeetha, Nancy V. Auxilia Osvin

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Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms by Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, Gawed Nagi, Abdullatif Ghallab, Abdu Alameri

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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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Development of Decision Support Model for Selecting a Maintenance Plan Using a Fuzzy MCDM Approach: A Theoretical Framework by Fathia Sghayer Abdulgader, Rajeh Eid, Babak Daneshvar Rouyendegh

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Fuzzy Set and Soft Set Theories as Tools for Vocal Risk Diagnosis by José Sanabria, Marinela Álvarez, Osmin Ferrer

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Aspect-Based Sentiment Analysis for Afaan Oromoo Movie Reviews Using Machine Learning Techniques by Obsa Gelchu Horsa, Kula Kekeba Tune

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Network modeling identifies molecular functions targeted by miR-204 to suppress head and neck tumor metastasis. by Younghee Lee, Xinan Yang, Yong Huang, Hanli Fan, Qingbei Zhang, Youngfei Wu, Jianrong Li, Rifat Hasina, Chao Cheng, Mark W Lingen, Mark B Gerstein, Ralph R Weichselbaum, H Rosie Xing, Yves A Lussier

“…This new strategy that integrates expression profiling, genetics and novel computational biology approaches provides for improved efficiency in characterization and modeling of microRNA functions in cancer as compared to the state of art and is applicable to the investigation of microRNA functions in other biological processes and diseases.…”
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ScITree: Scalable Bayesian inference of transmission tree from epidemiological and genomic data. by Hannah Waddel, Katia Koelle, Max S Y Lau

“…In summary, our method provides a computationally-efficient, highly scalable, accurate modeling framework for inferring the joint spatio-temporal dynamics of epidemiological and evolutionary processes, facilitating timely and effective outbreak responses in space and time. …”
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AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis. by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

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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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Federated Learning for Grading Oil Palm Fruit Ripeness in the Oil Palm Industry by Patchanee Laddawong, Yutthapong Pianroj, Piyanart Chotikawanid, Teerasak Punvichai, Saysunee Jumrat, Atitaya Kham-Ouam, Jirapond Muangprathub

“…Current trends focus on computer vision techniques based on image processing and machine learning to improve grading of oil palm fruit bunches at an individual factory, resulting in limited diversity of the data used for evaluation. …”
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An Improved Hashing Approach for Biological Sequence to Solve Exact Pattern Matching Problems by Prince Mahmud, Anisur Rahman, Kamrul Hasan Talukder

“…Pattern matching algorithms have gained a lot of importance in computer science, primarily because they are used in various domains such as computational biology, video retrieval, intrusion detection systems, and fraud detection. …”
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