Discovering biological progression underlying microarray samples. by Peng Qiu, Andrew J Gentles, Sylvia K Plevritis

“…In biological systems that undergo processes such as differentiation, a clear concept of progression exists. …”
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Embedded Parallel Implementation of LDPC Decoder for Ultra-Reliable Low-Latency Communications by Mhammed Benhayoun, Mouhcine Razi, Anas Mansouri, Ali Ahaitouf

“…The reached decoding latency on the parallel processing platform is 150 μs for 288 bits with a bit error ratio of 3.410–9.…”
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Ensemble Transformer–Based Detection of Fake and AI–Generated News by Md. Ishraquzzaman, Mohammed Ashraful Islam Chowdhury, Shahreen Rahman, Riasat Khan

“…This work leverages advanced natural language processing, machine learning, and deep learning algorithms to effectively detect fake and AI–generated content. …”
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Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean by Vladimir Krasnopolsky, Sudhir Nadiga, Avichal Mehra, Eric Bayler

“…We introduce a NN technique, linking chlorophyll “a” (chl-a) variability—primarily driven by biological processes—with the physical processes of the upper ocean using a NN-based empirical biological model for chl-a. …”
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Deep Learning Enabled Garbage Classification and Detection by Visual Context for Aerial Images by Agnivesh Pandey, Rohit Raja, Manoj Gupta, Farhan A. Alenizi, Pannee Suanpang, Aziz Nanthaamornphong

“…Proper garbage waste processing, management, and recycling are crucial for both ecological and economic reasons. …”
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Intelligent Model for Brain Tumor Identification Using Deep Learning by Abdul Hannan Khan, Sagheer Abbas, Muhammad Adnan Khan, Umer Farooq, Wasim Ahmad Khan, Shahan Yamin Siddiqui, Aiesha Ahmad

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LSTM-Based Neural Network to Recognize Human Activities Using Deep Learning Techniques by Sunitha Sabbu, Vithya Ganesan

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A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization by Lizhi Cui, Zhihao Ling, Josiah Poon, Simon K. Poon, Junbin Gao, Paul Kwan

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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

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Script Identification from Printed Indian Document Images and Performance Evaluation Using Different Classifiers by Sk Md Obaidullah, Anamika Mondal, Nibaran Das, Kaushik Roy

“…Identification of script from document images is an active area of research under document image processing for a multilingual/ multiscript country like India. …”
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A SVR Learning Based Sensor Placement Approach for Nonlinear Spatially Distributed Systems by Xian-xia Zhang, Zhi-qiang Fu, Wei-lu Shan, Bing Wang, Tao Zou

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Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges by Jetli Chung, Jason Teo

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Classification of Physiology Indicators for the Automatic Detection of Potentially Hazardous Physiological States by I. G. Damousis, S. Argyropoulos, A. Muzet

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Machine Learning Approaches for Software Defect Prediction by Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid

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Direction of Arrival Estimation for Coherent Signals’ Method Based on LSTM Neural Network by Thanh Han-Trong, Nam Ngo Duc, Hung Tran Van, Hung Pham-Viet

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ECG Paper Digitization and R Peaks Detection Using FFT by Ibraheam Fathail, Vaishali D. Bhagile

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An Adaptive Transformer Model for Long-Term Time-Series Forecasting of Temperature and Radiation in Photovoltaic Energy Generation by Asmaa Mohamed El-Saieed

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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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