Color correction methods for underwater image enhancement: A systematic literature review. by Yong Lin Lai, Tan Fong Ang, Uzair Aslam Bhatti, Chin Soon Ku, Qi Han, Lip Yee Por

“…However, challenges persist across all categories, including algorithmic limitations, data dependency, computational complexity, and performance variability across diverse underwater environments. …”
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Auxiliary Management and Control Channel (AMCC) for Coherent Frequency-Division-Multiplexing (FDM) PON by Jiaye Wang, Wangwei Shen, Jiang Chen, Guoqiang Li, Sizhe Xing, Nan Chi, Junwen Zhang

“…In addition, we propose a novel extraction algorithm without interference cancellation to detect the AMCC signal. …”
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Convolutional Neural Network for the Classification of the Control Mode of Grid-Connected Power Converters by Rabah Ouali, Martin Legry, Jean-Yves Dieulot, Pascal Yim, Xavier Guillaud, Frédéric Colas

“…This classification poses a challenge as the TSO lacks precise knowledge of the actual control structures and algorithms. This paper introduces a novel classification algorithm based on Convolutional Neural Networks (CNN), capable of detecting patterns in sequential data. …”
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Optimizing Security of Radio Frequency Identification Systems in Assistive Devices: A Novel Unidirectional Systolic Design for Dickson-Based Field Multiplier by Atef Ibrahim, Fayez Gebali

“…Therefore, it is essential to focus on the efficient implementation of cryptographic algorithms, which are fundamental to most encryption systems. …”
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Seasonal variability of SST fronts in the southern ocean south of 60°S: the relationship with sea ice by Linhong Zhao, Jingjing Zhang, Dingtian Yang, Shuqun Cai, Rong Zhong

“…This study addresses this gap by utilizing Optimum Interpolation SST data and the Cayula and Cornillon algorithm to detect SST fronts. The findings demonstrate that, influenced by the seasonal expansion and contraction of sea ice, frontal activity south of 60°S varies significantly by season, peaking in summer and reaching its lowest in winter. …”
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SHIP identifies genomic safe harbors in eukaryotic organisms using genomic general feature annotation by Matheus de Castro Leitão, Letícia Sousa Cabral, Luiza Cesca Piva, Pedro Felipe de Sousa Queiroz, Taísa Godoy Gomes, Rosângela Vieira de Andrade, Ana Laura Alfonso Perez, Karen Letycia Rodrigues de Paiva, Sônia Nair Báo, Viviane Castelo Branco Reis, Lídia Maria Pepe Moraes, Roberto Coiti Togawa, Leila Maria Gomes Barros, Fernando Araripe Gonçalves Torres, Georgios Joannis Pappas Júnior, Cíntia Marques Coelho

“…To expand the GSH repertoire, we present SHIP, an algorithm designed to detect potential GSHs in eukaryotes. …”
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Morphological Arrhythmia Classification Based on Inter-Patient and Two Leads ECG Using Machine Learning by Hasballah Zakaria, Elsa Sari Hayunah Nurdiniyah, Astri Maria Kurniawati, Dziban Naufal, Nana Sutisna

“…However, this method is still limited in detecting more specific arrhythmias, particularly morphological arrhythmias, such as bundle branch block and premature beats. …”
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Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt by Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy

“…This method is particularly useful for identifying low seismic amplitude anomalies, which are often challenging to detect with conventional seismic analysis. (1) This study developed a workflow to detect low seismic amplitude gas fields in near-field exploration. (2) It uses a machine learning algorithm to classify and explore low-seismic-amplitude gas sand reservoirs. (3) This approach helps estimate the likelihood of success and reduces the risk associated with hydrocarbon exploration wells.…”
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Evaluation of visual function within the central 10 degrees using IMOvifa™ 24plus (1-2). by Yuki Takagi, Ryo Asano, Kana Yamashita, Yukihiro Sakai, Sho Yokoyama, Kei Ichikawa, Kazuo Ichikawa

“…<h4>Conclusion</h4>The IMOvifa™ 24plus (1-2) may have a higher ability to detect defects in certain areas of the visual field, compared with HFA 24-2, and may also detect residual visual function. …”
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An in vivo microscopy dataset for the characterization of leukocyte death by Alain Pulfer, Diego Ulisse Pizzagalli, Miguel Palomino Segura, Nina Germic, Tommaso Virgilio, Mauro Di Pilato, Pau Carrillo Barbera, Elisa Palladino, Paola Antonello, Marcus Thelen, Hans-Uwe Simon, Rolf Krause, Santiago F. Gonzalez

“…However, the limited throughput of this technology, together with a lack of openly accessible datasets, affects the development of algorithms for the automatic detection and characterization of cell death, which in turn require the integration of extensive and curated datasets. …”
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Comparison of Recognition Techniques to Classify Wear Particle Texture by Mohammad Laghari, Ahmed Hassan, Mahmoud Haggag, Addy Wahyudie, Motaz Tayfor, Abdallah Elsayed

“…Images acquired via Charged-Coupled Device (CCD) microscopy were preprocessed using sharpening, histogram stretching, and four edge detection algorithms: Sobel, Laplacian, Boie–Cox, and Canny. …”
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Hierarchical optimization control strategy of hybrid electric vehicle platoon under communication failure by Jingyao Wang, Zhen Zeng, Weihao Lei, Haoxu Ye, Weiheng Su, Xunrui Li, Jinghua Guo, Jin Jiang, Keqiang Li

“…To enhance energy planning efficiency, a PER-D2PG intelligent algorithm is introduced, integrating priority experience replay and dueling networks into DDPG. …”
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Probabilistic prediction of fatigue damage based on linear fracture mechanics by M. Krejsa, L. Koubova, J. Flodr, J. Protivinsky, Q. T. Nguyen

“…Three sizes are important for the characteristics of the propagation of fatigue cracks - the initial size, detectable size and acceptable size. The theoretical model of fatigue crack progression in paper is based on a linear fracture mechanics. …”
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Predicting protein–protein interactions in microbes associated with cardiovascular diseases using deep denoising autoencoders and evolutionary information by Senyu Zhou, Jian Luo, Mei Tang, Chaojun Li, Yang Li, Wenhua He

“…Traditional experimental methods for detecting PPIs are often time-consuming and costly, leading to an urgent need for reliable computational approaches.MethodsIn this study, we present a novel model, the deep denoising autoencoder for protein–protein interaction (DAEPPI), which leverages the denoising autoencoder and the CatBoost algorithm to predict PPIs from the evolutionary information of protein sequences.ResultsOur extensive experiments demonstrate the effectiveness of the DAEPPI model, achieving average prediction accuracies of 97.85% and 98.49% on yeast and human datasets, respectively. …”
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Exploring the spatial segmentation of housing markets from online listings by David Abella, Johann H. Martínez, Mattia Mazzoli, Julien Migozzi, Thibault Le Corre, Eduard Alonso-Paulí, Rafel Crespí-Cladera, Thomas Louail, José J. Ramasco

“…We then apply clustering methods to this network to segment markets into spatially-coherent regions, which are found to be robust across different clustering detection algorithms, discretization of space and spatial scales, and across countries with case studies in France and Spain. …”
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Development of Robust Behaviour Recognition for an at-Home Biomonitoring Robot with Assistance of Subject Localization and Enhanced Visual Tracking by Nevrez Imamoglu, Enrique Dorronzoro, Zhixuan Wei, Huangjun Shi, Masashi Sekine, José González, Dongyun Gu, Weidong Chen, Wenwei Yu

“…Main task of the robot is to detect and track a designated subject while recognizing his/her activity for analysis and to provide warning in an emergency. …”
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Fault Diagnosis of Lithium-Ion Batteries Based on the Historical Trajectory of Remaining Discharge Capacity by Jiuchun Jiang, Bingrui Qu, Shuaibang Liu, Huan Yan, Zhen Zhang, Chun Chang

“…The method first utilizes the sparrow search algorithm (SSA) to identify the parameters of the second-order equivalent circuit model of the lithium-ion battery, and then estimates the state of charge (SOC) of the lithium-ion battery using the extended Kalman filter (EKF). …”
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Improved Iterative CD-Spline Approach for Building Boundary Regularization Using Airborne LiDAR Data by Renato Cesar dos Santos, Ayman F. Habib, Mauricio Galo

“…In the ICDS strategy, CPs are detected using Douglas&#x2013;Peucker algorithm followed by an angle-based constraint; then, a single set of CPs is used in a regularization process, not being possible to guarantee that the derived result corresponds to the best contour model. …”
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Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering by Wei Zhang, Zhixiang Dai, Taiwu Xia, Gangping Chen, Yihua Zhang, Jun Zhou, Cui Liu

“…Utilizing a layered collaborative framework, the system combines optimization algorithms and anomaly detection methods during data processing to enhance the relevance and reliability of high-dimensional data. …”
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Current Topics on the Integration of Artificial Intelligence in the Histopathological and Molecular Diagnosis of Uveal Melanoma by Serena Salzano, Giuseppe Broggi, Andrea Russo, Teresio Avitabile, Antonio Longo, Rosario Caltabiano, Manuel Mazzucchelli

“…Particular focus is placed on its role in histopathological assessments of UM, where algorithms facilitate the analysis of whole-slide images (WSIs). …”
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