Image-Based Shrimp Aquaculture Monitoring by Beatriz Correia, Osvaldo Pacheco, Rui J. M. Rocha, Paulo L. Correia

“…This paper proposes an image-based system designed to address four key tasks in an aquaculture tank with <i>Penaeus vannamei</i>: estimating shrimp length and weight, counting shrimps, and evaluating feed pellet food attractiveness. A setup was designed, including a camera connected to a Raspberry Pi computer, to capture high-quality images around a feeding plate during feeding moments. …”
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Modeling, Control and Validation of a Three-Phase Single-Stage Photovoltaic System by Eubis Pereira Machado, Adeon Cecílio Pinto, Rodrigo Pereira Ramos, Ricardo Menezes Prates, Jadsonlee da Silva Sá, Joaquim Isídio de Lima, Flávio Bezerra Costa, Damásio Fernandes, Alex Coutinho Pereira

“…Using the parameters and configurations of an actual inverter installed at the power plant CRESP (Reference Center for Solar Energy of Petrolina), mathematical modeling, implementation, and computational simulations were conducted in the time domain using MatLab^® software (R2021b). …”
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RelayGAN: Sequential knowledge propagation for sustainable multi-generation by Namkyung Yoon, Hwangnam Kim

“…This paper proposes RelayGAN, a new generative model that integrates knowledge inherent in multiple energy data based on the Generative Adversarial Network(GAN) sequentially, similar to relay running. To evaluate the effectiveness of RelayGAN, we conducted extensive experiments using quantitative methods. …”
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Artificial intelligence in acoustic ecology: Soundscape classification in the Cerrado by Bruno Daleffi da Silva, Linilson Rodrigues Padovese

“…Five statistical models were developed and evaluated, utilizing both traditional Machine Learning and Deep Learning, with Mel Frequency Cepstral Coefficients (MFCCs) and spectrogram images as input variables. …”
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Advanced Machine Learning Approaches for Breast Cancer Detection with Neutrosophic Sets by Hussam Elbehiery, Hanaa fathi, Mohamed Eassa, Ahmed Abdelhafeez, Mohamed Refaat Abdellah, Hadeer Mahmoud

“…Recent advances in medical imaging and computational technologies have enabled more precise methods of detecting and evaluating breast cancer. …”
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A systematic review of automated hyperpartisan news detection. by Michele Joshua Maggini, Davide Bassi, Paloma Piot, Gaël Dias, Pablo Gamallo Otero

“…Our analysis includes several steps: differentiating hyperpartisan news detection from similar tasks, identifying text sources, labeling methods, and evaluating models. We found some key gaps: there is no clear definition of hyperpartisanship in Computer Science, and most datasets are in English, highlighting the need for more datasets in minority languages. …”
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Bioinformatics in Age-Related Macular Degeneration: A Narrative Review by Mehrdad MOTAMED SHARIATI

“…Continued advancements in computational tools and data integration will further our understanding of AMD and improve preventive and therapeutic outcomes. …”
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Distributed Collaborative Camera Actuation Scheme Based on Sensing-Region Management for Wireless Multimedia Sensor Networks by Wusheng Luo, Qin Lu, Jingjing Xiao

“…The comparative performance evaluations demonstrate effectiveness and energy efficiency of the proposed scheme.…”
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An Adapted Ant Colony Optimization for Feature Selection by Duygu Yilmaz Eroglu, Umut Akcan

“…This wealth of high-dimensional data presents challenges, including increased computational demands and difficulties in extracting valuable insights. …”
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The effect of energy drinks on force degradation of elastomeric chains (An in vitro study) by Noor N. Abbass, Alaa F. Albo Hassan, Mohammed Nahidh

“…Using one-way ANOVA and Tukey’s HSD tests, the percentage of force decay was computed and compared across the different elastic brands, time intervals, and energy drinks. …”
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Artificial potential field path length reduction using Kenneth-Nnanna-Saleh algorithm by Kenneth Christopher Ugwoke, Nnanna Nwojo Agwu, Saleh El-Yakub Abdullahi

“…The algorithm takes an APF path that is generated from the problem domain as input, evaluates angles at each point, and compares the angle with a pre-defined threshold angle to remove or retain the point in the resultant KNS path. …”
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metaGE: Investigating genotype x environment interactions through GWAS meta-analysis. by Annaïg De Walsche, Alexis Vergne, Renaud Rincent, Fabrice Roux, Stéphane Nicolas, Claude Welcker, Sofiane Mezmouk, Alain Charcosset, Tristan Mary-Huard

“…In this context, we introduce metaGE, a flexible and computationally efficient meta-analysis approach for jointly analyzing single-environment GWAS of any MET experiment. …”
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DBO-AWOA: An Adaptive Whale Optimization Algorithm for Global Optimization and UAV 3D Path Planning by Tao Xu, Chaoyue Chen

“…The rapid expansion of unmanned aerial vehicle (UAV) applications in complex environments presents significant challenges in 3D path planning, particularly in overcoming the limitations of traditional methods for dynamic obstacle avoidance and computational efficiency. To address these challenges, this study introduces an adaptive whale optimization algorithm (DBO-AWOA), which incorporates chaotic mapping, nonlinear convergence factors, adaptive inertia mechanisms, and dung beetle optimizer-inspired reproductive behaviors. …”
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Mathematical model for assessing the influence of vibrations for multicopter elements by Penghao Gu, A. M. Ausiyevich, A. A. Lobaty

“…The computer modeling of the probabilistic characteristics of vibration processes clearly demonstrated the efficiency of the proposed research methodology.…”
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Just a Single-Layer CNN for Stochastic Modeling: A Discriminator-Free Approach by Evangelos Rozos

“…The model is applied to a case study involving measured flow velocity time series and evaluated against traditional stochastic schemes designed for both Markovian and Hurst–Kolmogorov processes. …”
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A Convolutional Neural Network-Based Stress Prediction Method for Airfoil Structures by Wendi Jia, Quanlong Chen

“…However, conventional stress calculation methods often encounter significant computational costs and lengthy analysis times when addressing highly nonlinear and complex geometries. …”
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TomatoGuard-YOLO: a novel efficient tomato disease detection method by Xuewei Wang, Jun Liu

“…To address the shortcomings of existing detection methods in accuracy, computational efficiency, and scalability, this study propose TomatoGuard-YOLO, an advanced, lightweight, and highly efficient detection framework based on an improved YOLOv10 architecture. …”
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Study on the Universal Tapered Segmental Ring Assembly Simulation Algorithm and Deviation Assessment: A Case Study on Metro Line Tunnel by Guoping Zheng, Jurij Karlovsek

“…Secondly, relevant core algorithms are introduced in detail, including the coordinate position algorithm of horizontal and vertical curves and computer graphic algorithm of spatial point rotating around any axis. …”
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onEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation. by Luca Longo, Richard B Reilly

“…As the first of its kind, it is described and instantiated for the particular problem of blink detection and reduction, and evaluated across a general and a specific analysis of the signal to noise ratio across 30 participants.…”
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2D-QSAR-guided design of potent carbamate-based inhibitors of acetylcholinesterase. by Meriem Khedraoui, El Mehdi Karim, Oussama Abchir, Abdelkbir Errougui, Yasir S Raouf, Abdelouahid Samadi, Samir Chtita

“…In the search for novel hit compoundswith potential as future Alzheimer's therapies, a series of carbamates derivatives were designed and evaluated using computational approaches including QSAR modeling, molecular docking, ADMET profiling, and molecular dynamics simulations. …”
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