Underwater image dehazing using a hybrid GAN with bottleneck attention and improved Retinex-based optimization by Amandeep Kaur, Shalli Rani, Mohammad Shabaz

“…Underwater imaging systems frequently face considerable difficulties in detecting and tracking objects due to image degradation resulting from light scattering, colour distortion, and haze. …”
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Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explain... by Sami Alrabie, Ahmed Barnawi

“…First, we observed that automatic heart-sound segmentation algorithms—commonly used for data augmentation—produce varying outcomes, raising concerns about the accuracy of both the segmentation process and the resulting classification performance. …”
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Recognition of State of Health Based on Discharge Curve of Battery by Signal Temporal Logic by Jing Ning, Bing Xiao, Wenhui Zhong

“…As a means of quickly detecting whether the battery is in a healthy state, the accuracy difference is negligible, so the STL algorithm is apparently superior in terms of performance and realizability.…”
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Modeling residue formation from crude oil oxidation using tree-based machine learning approaches by Mohammad-Reza Mohammadi, Seyyed-Mohammad-Mehdi Hosseini, Behnam Amiri-Ramsheh, Saptarshi Kar, Ali Abedi, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour

“…Four advanced tree-based machine learning algorithms comprising gradient boosting with categorical features support (CatBoost), light gradient boosting machine (LightGBM), random forest (RF), and extreme gradient boosting (XGBoost) were utilized to develop accurate predictive models. …”
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Network Pseudohealth Information Recognition Model: An Integrated Architecture of Latent Dirichlet Allocation and Data Block Update by Jie Zhang, Pingping Sun, Feng Zhao, Qianru Guo, Yue Zou

“…The research results show that (1) the LDA model can deeply mine the semantic information of network pseudohealth information, obtain the features of document-topic distribution, and classify and train topic features as input variables; (2) the dataset partitioning method can effectively block data according to the text attributes and class labels of network pseudohealth information and can accurately classify and integrate the block data through the data block reintegration method; and (3) considering that the combination model has certain limitations on the detection of network pseudohealth information, the support vector machine (SVM) model can extract the granularity content of data blocks in pseudohealth information in real time, thus greatly improving the recognition performance of the combination model.…”
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Antifungal Metabolites from High-Altitude Soil Actinomycetes Isolated from Nepal by Sagar Aryal, F.P. Jake Haeckl, Rameshwar Adhikari, Balmukunda Regmi, Dev Raj Joshi

“…A rotary evaporator was used to isolate the crude extract and antifungal metabolites were detected using UPLC-MS/MS. The LC-MS data were processed using the T-ReX 3D algorithm in MetaboScape 2022b, and GNPS spectral library was used to annotate the features. …”
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Slipping Trend Prediction Based on Improved Informer by Jingchun Huang, Sheng He, Haoxiang Feng, Yongjiang Yu

“…The transformer-based Informer algorithm performs well in time series prediction and analysis. …”
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Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations. by Sarah M Zala, Doris Reitschmidt, Anton Noll, Peter Balazs, Dustin J Penn

“…Manually processing complex vocalization data is time-consuming and potentially subjective, and therefore, we developed an algorithm that automatically detects mouse ultrasonic vocalizations (Automatic Mouse Ultrasound Detector or A-MUD). …”
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A Multi-Mode Recognition Method for Broadband Oscillation Based on Compressed Sensing and EEMD by Jinggeng Gao, Honglei Xu, Yong Yang, Haoming Niu, Jinping Liang, Haiying Dong

“…Secondly, in the main station, the subspace pursuit (SP) algorithm is used to reconstruct the low-dimensional signal; the broadband oscillation signal is recovered without losing the main features of the signal. …”
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Autonomous defect estimation in aluminum plate and prognosis through stochastic process modeling by Mrudul Jambulkar, Shivam Ojha, Amit Shelke, Anowarul Habib

“…To overcome these challenges, this study proposes an unsupervised learning framework that combines k-means clustering with a multi-phase gamma process to detect and model damage in aluminum plates. Scanning Acoustic Microscopy (SAM) images serve as the data source, from which comprehensive features are extracted in time, frequency, and time-frequency domains using Short-Time Fourier Transform (STFT). …”
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Automated Localization and Classification of Expressway Pole-Like Road Facilities from Mobile Laser Scanning Data by Tran Thanh Ha, Taweep Chaisomphob

“…Finally, a set of knowledge-based rules, which comprise height features and geometric shape, is constructed to classify the detected road poles into different types of road facilities. …”
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HLA-B27-associated uveitis: an independent disease or a variant of spondyloarthritis? by A. A. Godzenko, I. Yu. Razumova, I. A. Guseva

“…An algorithm is presented, which makes it possible to timely diagnose SpA in the presence of acute anterior uveitis. …”
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Research on fault line selection technology of distribution network based on EMD and WVD by Jin Zhang, Dezhi Chen, Siman Han

“…Simulation results demonstrate that this EMD–WVD multi-point fusion method for single-phase grounding fault detection features reasonable weight definition criteria, achieves high selection accuracy with rapid response, and shows strong potential for practical engineering applications.…”
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Monitoring the reliability of integrated circuits protection against Trojans: encoding and decoding of combinational structures by L. A. Zolotorevich, V. A. Ilyinkov

“…An algorithm for cracking the code of combinational circuits is proposed, based on the description of encoded structure by the resolution function and reducing the problem to SAT CNF. …”
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Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning by Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych

“…The inclusion of DEM-based auxiliary features and additional meteorological information improved the results. …”
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Examining the Success of Information Gain, Pearson Correlation, and Symmetric Uncertainty Ranking Methods on 3D Hand Posture Data for Metaverse Systems by Şule Yücelbaş, Cüneyt Yücelbaş

“…For this purpose, various preprocessing was performed on the 3D data, and a dataset consisting of 15 features in total was created. The created dataset was ranked by 3 different methods mentioned and the features that the methods determined effectively were classified separately. …”
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Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study by Andrew Johnson, Luke Oakden-Rayner, Catherine M Jones, Jarrel Seah, Cyril Tang, Quinlan D Buchlak, Nazanin Esmaili, Luke Danaher, Michael R Milne

“…Objectives Artificial intelligence (AI) algorithms have been developed to detect imaging features on chest X-ray (CXR) with a comprehensive AI model capable of detecting 124 CXR findings being recently developed. …”
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Radiomic Analysis and Liquid Biopsy in Preoperative CT of NSCLC: An Explorative Experience by Maria Paola Belfiore, Mario Sansone, Giovanni Ciani, Vittorio Patanè, Carlotta Genco, Roberta Grassi, Giovanni Savarese, Marco Montella, Riccardo Monti, Salvatore Cappabianca, Alfonso Reginelli

“…Machine learning algorithms were employed to assess the association between radiomic features and gene mutations. …”
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A Biomimetic Pose Estimation and Target Perception Strategy for Transmission Line Maintenance UAVs by Haoze Zhuo, Zhong Yang, Chi Zhang, Nuo Xu, Bayang Xue, Zekun Zhu, Yucheng Xie

“…Compared with the existing UAV environmental perception solutions, the bionic target perception algorithm proposed in this article can efficiently extract point and line features from infrared images and realize the target detection and automatic tracking function of small multi-rotor drones in the power line scenario, with low power consumption.…”
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An Efficient Method for Lung Lesions Classification Using Automatic Vascularization Evaluation on Color Doppler Ultrasound by Roxana Rusu-Both, Adrian Satmari, Romeo-Ioan Chira, Alexandra Chira, Camelia Avram

“…This study integrates Doppler mode ultrasound vascularization features—blood vessel area, tortuosity index, and orientation—into an FNN to classify lung lesions as benign or malignant. …”
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