Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm by Shun Cheng, Zhiqian Wang, Shaojin Liu, Yan Han, Pengtao Sun, Jianrong Li

“…In this paper, an underwater target detection model based on YOLOv8 (SPSM-YOLOv8) is proposed. It solves the problems of high computational complexities, slow detection speeds and low accuracies. …”
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A Fault Diagnosis Method for Oil Well Electrical Power Diagrams Based on Multidimensional Clustering Performance Evaluation by Xingyu Liu, Xin Meng, Ze Hu, Hancong Duan, Min Wang, Yaping Chen

“…Compared to traditional methods, we introduce fourteen new features of the electrical parameters, encompassing multidimensional analyses in the time domain, frequency domain, and time-frequency domain, significantly enhancing the richness and accuracy of feature extraction. …”
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EXPERT SYSTEM DESIGN TO DIAGNOSE PESTS AND DISEASES ON LOCAL RED ONION PALU USING BAYESIAN METHOD by Junaidi Junaidi, Fadjryani Fadjryani, Iman Setiawan, Mohammad Batara, Syaiful Hendra, Nurmasita Ismail

“…This expert system has features and functions including the diagnosis of pests and diseases of the observed plants, viewing the results of the diagnosis and printing the results of the diagnosis. …”
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A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention by Yizong Wang, Zhengrong Xiao, Hong Wang, Fei Li, Jiya Tian

“…Methods Firstly, a new character to float (C2f) Attention inverse residual moving block (IRMB) module is designed, which significantly enhances the model’s sensitivity to tiny disease features while reducing the number of parameters by fusing the lightweight IRMB with the adaptive attention gating mechanism, and solves the problem of losing key texture information due to downsampling in the traditional C2f module. …”
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An introduction to International Traditional Medicine Clinical Trial Registry (ITMCTR): A cross-regional registry focusing on theme of traditional medicine by Xuefei Zhang, Ning Liang, Yujing Zhang, Chen Zhao, Lijiao Yan, Ziteng Hu, Sihong Yang, Zehui Ye, Nannan Shi, Yanping Wang, Luqi Huang

“…Under the current registration background, this study aims to introduce the problems and current status related to clinical trial registration, as well as the features and functions of the ITMCTR. …”
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A Delphi study to identify key gait patterns and their potential causes in people with multiple sclerosis by Sjoerd T. Timmermans, Marjolein M. van der Krogt, Marc B. Rietberg, Heleen Beckerman, Vincent de Groot

“…Methods: A comprehensive list of gait characteristics and underlying impairments was compiled and analysed to identify common gait patterns and their primary features and potential causes. Consensus was defined as 67% agreement. …”
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DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling by Zongren Li, Shuping Luo, Hongwei Li, Yanbin Li

“…Additionally, in light of the problems of spatial feature information loss and augmented memory access during the 1 × 1 convolutional channel compression phase, this study further puts forward a dynamic channel sampling approach, which markedly elevates the accuracy of tumor subregion segmentation. …”
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EPIDEMIOLOGICAL AND CLINICAL CHARACTERISTICS, CAUSATIVE DRUGS, AND DIAGNOSTIC CHALLENGES OF FIXED DRUG ERUPTION IN ELDERLY PATIENTS: IS BULLOUS TYPE A MORE COMMON CLINICAL PHENOT... by Goncagül Babuna Kobaner, Esen Özkaya

“…Objective: The present study aimed to evaluate the epidemiological and clinical features, causative drugs, and diagnostic challenges of Fixed drug eruption (FDE) in elderly patients. …”
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Mathematics and Machine Learning for Visual Computing in Medicine: Acquisition, Processing, Analysis, Visualization, and Interpretation of Visual Information by Bin Li, Shixiang Feng, Jinhong Zhang, Guangbin Chen, Shiyang Huang, Sibei Li, Yuxin Zhang

“…However, there are few reviews comprehensively introducing and surveying the systematic implementation of machine-learning-based vision computing in medicine, and in relevant reviews, little attention has been paid to the use of machine learning methods to transform medical visual computing tasks into data-driven learning problems with high-level feature representation, while exploring their effectiveness in key medical applications, such as image-guided surgery. …”
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The effect of COVID-19 on the presentation of thyroid antibodies. Case report by Afrim Zeqiraj

“…Due to the clinical features and the COVID-19 pandemic, a nasopharyngeal swab was used for sampling, and SARS-CoV-2 test was positive (mRNA in real time RT-PCR). …”
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Regulation of inflationary processes in the conditions of open economy (on the example of economy of the Republic of Tajikistan) by M. M. Ahmedova

“…In this regard, the article discusses in detail such issues as, features of inflationary  processes in an open economy, the specifics of the impact of external  factors on the level of inflation.  …”
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Reliably quantifying the severity of social symptoms in children with autism using ASDSpeech by Marina Eni, Yaniv Zigel, Michal Ilan, Analya Michaelovski, Hava M. Golan, Gal Meiri, Idan Menashe, Ilan Dinstein

“…Abstract Several studies have demonstrated that the severity of social communication problems, a core symptom of Autism Spectrum Disorder (ASD), is correlated with specific speech characteristics of ASD individuals. …”
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Tapping the Potential of the Molecular Genetic Expert Research of Objects of Animal Origin in the Fight against Their Illegal Trafficking by Sergei V. Aramilev, Viktoriya V. Gulevskaya, Georgii G. Omel’yanyuk, Anna A. Rybakova, Irina V. Storozhenko

“…Methods based on the DNA analysis can also be applied for solving problems related to establishing the source of origin of the animal, in some cases – its habitat. …”
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Ultrasound super resolution imaging for accurate uterus tumor detection and malignancy prediction by Ashwini Sawant, Sujata Kulkarni, Milind Sawant

“…Ultrasound pictures can be processed using methods including denoising, enhancement, segmentation, and feature extraction to get around these restrictions and boost their quality. …”
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A Water Extraction Method for Multiple Terrains Area Based on Multisource Fused Images: A Case Study of the Yangtze River Basin by Huang Ruolong, Shen Qian, Fu Bolin, Yue Yao, Yuting Zhang, Qianyu Du

“…A single data source cannot resolve this issue and often encounters the challenge of “different features having the same spectrum.” To address these problems, we constructed a dataset using both active and passive remote sensing data and designed a partitioning scheme with corresponding water body extraction rules for multiple terrains area. …”
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Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets by Muhammad Zeeshan, Qaiser Riaz, Muhammad Ahmad Bilal, Muhammad K. Shahzad, Hajira Jabeen, Syed Ali Haider, Azizur Rahim

“…We classify non-anomalous, DoS, and DDoS traffic uniquely by taking care of the problems like imbalanced and over-fitting. We have achieved a classification accuracy of 96.3% by using deep learning (DL) technique.…”
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Global legal anomie in the international legal system: general theoretical aspect by A. V. Malko, D. A. Lipinsky, R. S. Markunin, A. A. Ivanov

“…The article analyzes current problems of global legal anomie, characteristic of the modern international legal system and international life. …”
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FUNCTIONAL STATE OF THE MICROCIRCULATION OF THE SKIN ACCORDING TO LASER DOPPLER FLOWMETRY IN PATIENTS WITH ATRIAL FIBRILLATION WHO UNDERWENT CARDIOEMBOLIC STROKE by I. A. Zolotovskaya, I. L. Davydkin, A. A. Fedorovich, O. M. Drapkina

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Opposition-Based White Shark Optimizer for Optimizing Modified EfficientNetV2 in Road Crack Classification by Mohammed Al-Shalabi, Mohammed A. Mahdi, Malik Braik, Mohammed Azmi Al-Betar, Shahanawaj Ahamad, Sawsan A. Saad

“…Although Convolutional Neural Networks (CNNs) and meta-heuristic algorithms have proven effective in solving real-world problems, their use in low-contrast pavement crack images is worth investigating. …”
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Legal Nature of Smart Contracts: Contract or Program Code? by G. Varbanova

“…It compares the current Bulgarian legislation with supranational legal sources and identifies the characteristic features of smart contracts as demanded instruments necessary for modern law and economy. …”
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