Wastewater treatment plants as reservoirs for Vibrio species: an assessment of the Abuja wastewater treatment plant in Nigeria by Ini-Abasi Ikinwot Ibangha, Stella Ngozi Madueke, Sylvester Onyebuchi Onuora, Matthew Chekwube Enebe, Paul Isaac Ojodale, Mariana Erasmus, Vincent Nnamdigadi Chigor

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Enhanced sentiment analysis framework: Ensemble attention enhanced bidirectional long-short-term encoder for accurate classification of consumer reviews by Ali Jaber Almalki

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Chaotic dynamics analysis and digital hardware design of the Izhikevich neuron model by Mehdi Nadiri Andabili, Soheila Nazari, Tohid Moosazadeh

“…The advancement of neuromorphic algorithms can continue to evolve in accordance with the principles of neural computing and the architectures of neural networks that draw inspiration from biological neural systems. …”
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Towards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems by Abdullah M. Iliyasu, Mohammad Sh. Daoud, Ahmed Sayed Salama, John William Grimaldo Guerrero, Kaoru Hirota

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Detection and localization of indigenous economic grasses in depth-color close-range aerial images, using a novel trainingless data-to-decision approach (DIKD Hierarchy), for the S... by Radhwan Sani, Tamer Rabie, Ali Cheaitou

“…It is required for various crop management processes, including: autonomous plantation, irrigation, and harvesting. …”
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Method-Level Syntactic and Semantic Clustering for Microservice Discovery in Legacy Enterprise Systems by Adambarage Anuruddha Chathuranga de Alwis, Alistair Barros, Colin Fidge, Artem Polyvyanyy

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Exploiting adaptive neuro-fuzzy inference systems for cognitive patterns in multimodal brain signal analysis by T. Thamaraimanalan, Dhanalakshmi Gopal, S. Vignesh, K Kishore kumar

“…Future work will focus on testing the approach with larger and more diverse datasets and exploring its applicability in domains such as neurofeedback, neuromarketing, and brain-computer interfaces. This study establishes PCA-ANFIS as a capable tool for the precise and efficient classification of cognitive patterns in brain signal processing.…”
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Technology use in long-term care during the COVID-19 pandemic: A qualitative study of paid employees’ experiences in Western Canada by Hui-Jun Chew, Shannon Freeman, Piper Jackson, Dawn Hemingway, Tammy Klassen-Ross, Melinda Martin-Khan, Davina Banner

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AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions by Saba Parveen, Md Belal Bin Heyat, Umair Tariq, Faijan Akhtar, Hafiz Muhammad Zeeshan, Seth Christopher Yaw Appiah, Shang-Ming Zhou, Huang Lei

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Transforming mining energy optimization: a review of machine learning techniques and challenges by Sravani Parvathareddy, Abid Yahya, Lilian Amuhaya, Ravi Samikannu, Raymond Sogna Suglo

“…Mining is among the most energy-intensive industrial sectors, with processes such as drilling, crushing,and ore processing driving substantial operational costs and environmental impacts. …”
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Study of the Effectiveness of Precision Doses of Antibiotics in the Treatment of Induced Acute Bacterial Postoperative Endophthalmitis in an Experiment by V. N. Kazajkin, V. O. Ponomarev

“…The obtained data were exported to the original program of an electronic computing machine of its own design, for automatic calculation of the dose of antibacterial drug for intravitreal injection. …”
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Advancing prenatal healthcare by explainable AI enhanced fetal ultrasound image segmentation using U-Net++ with attention mechanisms by Retinderdeep Singh, Sheifali Gupta, Heba G. Mohamed, Salil Bharany, Ateeq Ur Rehman, Yazeed Yasin Ghadi, Seada Hussen

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Automation of autonomous mobile robot docking based on the counter growth rapidly exploring random tree method by V. V. Golubov, S. V. Manko

“…It is based on the parallel execution of a decentralized route planning algorithm with mutual coordination of distributed computing processes. The effectiveness of the complex of algorithmic and software tools developed was evaluated using computer and natural simulation methods. …”
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An Automated Framework for Streamlined CFD-Based Design and Optimization of Fixed-Wing UAV Wings by Chris Pliakos, Giorgos Efrem, Dimitrios Terzis, Pericles Panagiotou

“…The framework employs a parameterized meshing module capable of handling a broad range of wing geometries within an extensive design space, thereby reducing manual effort and achieving pre-processing times in the order of five minutes. Incorporating GPU-enabled solvers and high-performance computing environments allows for rapid and scalable aerodynamic evaluations. …”
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A Combinatory Analytical and Finite Element Approach for Comparing Electromagnetic Performance in IPM and SPM Synchronous Motors by Trinh Truong Cong, Bao Doan Thanh, Dinh Bui Minh, Nguyen Gia Minh Thao, Vuong Dang Quoc

“…Subsequently, a finite element method is presented for computing, simulating, and comparing the electromagnetic parameters of both proposed motors, including their back electromotive force, torque ripple, efficiency, and power factor. …”
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Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systemsMendeley by Alaa Selim, Huadong Mo, Hemanshu Pota

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MapReduce based big data framework using associative Kruskal poly Kernel classifier for diabetic disease prediction by R. Ramani, S. Edwin Raja, D. Dhinakaran, S. Jagan, G. Prabaharan

“…These facts are established due to the reason that big data field has received considerable attention from both the industrial experts and academicians. The computation process must be accelerated to achieve early disease prediction in order to accomplish the prospects of ML for big data applications. …”
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Region search based on hybrid convolutional neural network in optical remote sensing images by Shoulin Yin, Ye Zhang, Shahid Karim

“…This process avoids exhaustive search for input images. …”
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Defining Feasible Joint and Geometric Workspaces Through Boundary Functions by Jorge A. Lizarraga, Dulce M. Navarro, Marcela E. Mata-Romero, Luis F. Luque-Vega, Luis Enrique González-Jiménez, Rocío Carrasco-Navarro, Salvador Castro-Tapia, Héctor A. Guerrero-Osuna, Emmanuel Lopez-Neri

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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

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