Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

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Image-Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches by Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, Rehan Ullah Khan, Ali Mustafa Qamar

“…The histopathology images are key tools in the diagnosis process, allowing pathologists to visually assess tissue samples for signs of cancer. …”
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Development of Product Data Model for Maintenance in Concrete Highway Bridges by Satoshi Kubota, Ichizou Mikami

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Controller Parameter Optimization for Nonlinear Systems Using Enhanced Bacteria Foraging Algorithm by V. Rajinikanth, K. Latha

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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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Design of Fixed and Ladder Mutation Factor-Based Clonal Selection Algorithm for Solving Unimodal and Multimodal Functions by Suresh Chittineni, A. N. S. Pradeep, Dinesh Godavarthi, Suresh Chandra Satapathy, S. Mohan Krishna, P. V. G. D. Prasad Reddy

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A Comparative Study of EAG and PBIL on Large-Scale Global Optimization Problems by Imtiaz Hussain Khan

“…The performance of these algorithms was analyzed in terms of solution quality and computational cost. We found that EAG performed better than PBIL in attaining a good quality solution, but the latter performed better in terms of computational cost. …”
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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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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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On Characterization of Norm-Referenced Achievement Grading Schemes toward Explainability and Selectability by Thepparit Banditwattanawong, Masawee Masdisornchote

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Local Search-Based Metaheuristic Methods for the Solid Waste Collection Problem by Haneen Algethami

“…Results showed that optimal solutions are found in faster computational times than using only an IP solver, especially for large instances. …”
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ECG Paper Digitization and R Peaks Detection Using FFT by Ibraheam Fathail, Vaishali D. Bhagile

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Geometric Degree Reduction of Wang–Ball Curves by Yusuf Fatihu Hamza, Mukhtar Fatihu Hamza, Abedallah Rababah, Salisu Ibrahim

“…Existing methods share some common limitations, such as lack of geometric continuity, complex computations, and one-degree reduction at a time. In this paper, an approximate geometric multidegree reduction algorithm of Wang–Ball curves is proposed. …”
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AI-Enabled Ant-Routing Protocol to Secure Communication in Flying Networks by Sadoon Hussain, Ahmed Sami, Abida Thasin, Redhwan M. A. Saad

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The Characteristics of Circular Fermatean Fuzzy Sets and Multicriteria Decision-Making Based on the Fermatean Fuzzy t-Norm and t-Conorm by Revathy A., Inthumathi V., Krishnaprakash S., Anandakumar H., Arifmohammed K. M.

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Evaluation of Gas-Fired Combi Boilers with HF-AHP-MULTIMOORA by Funda Samanlioglu, Zeki Ayağ, Gökhan Kirkil, Esra Yucal

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Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones by Endang Chumaidiyah, Mouli De Rizka Dewantoro, Anton Abdulbasah Kamil

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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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A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization by Kabiru O. Akande, Taoreed O. Owolabi, Sunday O. Olatunji, AbdulAzeez Abdulraheem

“…Hybrid computational intelligence is defined as a combination of multiple intelligent algorithms such that the resulting model has superior performance to the individual algorithms. …”
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