A fast and fully automated system for segmenting retinal blood vessels in fundus images by Alqassab Ans Ibrahim Mahameed, Luque-Nieto Miguel-Ángel

“…The problem of segmenting retinal blood vessels in fundus images arises from the challenges of accurately detecting and delineating vessels due to their complex structures, varying sizes, and overlapping features. …”
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Document Relevance Filtering by Natural Language Processing and Machine Learning: A Multidisciplinary Case Study of Patents by Raj Bridgelall

“…This study addresses the problem by systematically evaluating supervised and unsupervised machine learning (ML) techniques for document relevance filtering across five technology domains: solid-state batteries, electric vehicle chargers, connected vehicles, electric vertical takeoff and landing aircraft, and light detecting and ranging (LiDAR) sensors. …”
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BPFun: a deep learning framework for bioactive peptide function prediction using multi-label strategy by transformer-driven and sequence rich intrinsic information by Lun Zhu, Hao Sun, Sen Yang

“…Meanwhile, adopting data augmentation to solve the problem of data imbalance. We combine convolutional networks of different scales and Bi-LSTM layers to obtain high-level feature vectors of different features. …”
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A Very Young Adult Female Patient with Hepatitis B Flare: A Case Report by Andreas Agung Kurniawan, Ummi Maimunah

“…Hepatitis B virus (HBV) infection is a major global health problem. It can cause chronic infection and put people at high risk of death from cirrhosis and liver cancer. …”
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Wavelet-Analysis of Cardiosignals Using Matlab by B. F. Badalyan, H. A. Gomtsyan, S. G. Gomtsyan

“…This article is devoted to the problem of accurate detection of cardiosignal QRS-complexes for early diagnosis of various diseases of human cardiovascular system. …”
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An Adaptive SVD-Based Approach to Clutter Suppression for Slow-Moving Targets by Yuhao Hou, Baixiao Chen

“…The proposed approach leverages the augmented implicitly restarted Lanczos bidiagonalization (AIRLB) algorithm to decompose echo matrices into different subspaces, which are then characterized in relation to Doppler frequency, energy, and correlation. These features are employed to classify the clutter subspaces using an SVM classifier, which solves the problem of selecting the SVD threshold. …”
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Bankline extraction in remote sensing images using principal curves by Yun GUO, Yi-huai WANG, Chun-ping LIU, Sheng-rong GONG, Yi JI

“…The resulting vector descriptions of banklines are more convenient for storage and reconstruc-tion and can be used as shape features for the detection and identification of river area in images.…”
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Job absorption and its relationship with the spirit of challenge of some volleyball coaches from the players' point of view by M. Afrah Baqir, Dr. Luma Sameer, Dr. Muslim Mohammed

“… The importance of the current study lies in the psychological preparation of coaches, their abilities and skills that can be measured for them and the possibility of being distinguished by them by coaches, and thus its reflection on their players because the players always derive challenge, enthusiasm and other psychological skills from their coaches and their characteristics that encourage players to perform well, The research problem is that there are basic and distinct features that should characterize the personality of the trainer and control most of his behaviors in different life situations because of their great and effective role in making him able to face the difficulties and challenges of life and at the same time lead to the development of his personality and as a result of the poor availability of information about job absorption. …”
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Cross-domain 3D Model Retrieval Based on Viewpoint Alignment by ZHANG Libao, WANG Tao, GAO Zheng, DING Bo, HE Yongjun

“…These lead to low accuracy of the current sketch retrieval systems. To solve these problems, we propose a new sketch-based 3D model retrieval method. …”
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A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention by Tianjiao Hu, Yihua Lan, Yingqi Zhang, Jiashu Xu, Shuai Li, Chih-Cheng Hung

“…In this model, we construct a multi-threshold feature separation module to capture edge and texture features from different levels and specified intensities of the input image. …”
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C-parameter version of robust bounded one-class support vector classification by Junyou Ye, Zhixia Yang, Yongxing Hu, Zheng Zhang

“…The theoretical properties of the proposed method are successively derived, including the relationship between the solutions to the primal and dual problems, the connections between our C-BOCSVC and $$\nu$$ -OCSVC and the computational complexity. …”
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Voice biomarkers as prognostic indicators for Parkinson’s disease using machine learning techniques by Ifrah Naeem, Allah Ditta, Tehseen Mazhar, Muhammad Anwar, Mamoon M. Saeed, Habib Hamam

“…This study highlights the significance of using vocal features along with advanced machine learning methods to reliably diagnose Parkinson’s disease, considering the challenges associated with early detection.…”
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Machine Learning Integrated Multivariate Water Quality Control Framework for Prawn Harvesting from Fresh Water Ponds by Gaganpreet Kaur, M. Braveen, Singamaneni Krishnapriya, Surindar Gopalrao Wawale, Jorge Castillo-Picon, Dheeraj Malhotra, Jonathan Osei-Owusu

“…The aquaculture business still confronts obstacles such as the development of improved monitoring systems, the early detection of outbreaks, enormous mortality, and promoting sustainability, all of which are open problems that need to be solved. …”
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An Integrated Model for Circular Waste Management Using the Internet of Things, Semantic Web, and Gamification (Circonomy): Case Study in Indonesia by Vitri Tundjungsari, Bambang Purnomosidi Dwi Putranto, Muhamad Bahrul Ulum, Nizirwan Anwar

“… Abstract BackgroundThe problem of how to deal with waste is a global issue all countries face. …”
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Deghosting method for cross localization in distributed high frequency surface wave radar by Na Cui, Xuekun Chen, Changjun Yu

“…Abstract In this article, the challenging problem of multi‐target cross localization within a novel distributed high‐frequency surface wave radar (HFSWR) is tackled. …”
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RECURRENT OVARIAN GRANULOSA CELL TUMORS: DIAGNOSIS AND TREATMENT by A. M. Beishembayev, V. A. Khailenko, N. V. Lyubimova, Yu. G. Payanidi, O. A. Anurova, O. N. Streltsova, K. I. Zhordania

“…The low incidence of OGCT and the specific features of their clinical course highly hamper the study of the mechanisms of development of recurrences and the possibilities of timely detection of disease progression and the determination of their optimal treatment policy. …”
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SmoothDectector: A Smoothed Dirichlet Multimodal Approach for Combating Fake News on Social Media by Akinlolu Oluwabusayo Ojo, Fatma Najar, Nuha Zamzami, Hanen T. Himdi, Nizar Bouguila

“…These platforms often lack rigorous editorial scrutiny, exacerbating this problem. Although recent studies have explored multimodal fake news detection to learn shared representations of textual and visual information, they often learn discrete latent representations, merely concatenations of multimodal features. …”
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Adaptive GDDA-BLAST: fast and efficient algorithm for protein sequence embedding. by Yoojin Hong, Jaewoo Kang, Dongwon Lee, Damian B van Rossum

“…A major computational challenge in the genomic era is annotating structure/function to the vast quantities of sequence information that is now available. This problem is illustrated by the fact that most proteins lack comprehensive annotations, even when experimental evidence exists. …”
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Enhancing natural disaster image classification: an ensemble learning approach with inception and CNN models by Kashvi Ankitbhai Sheth, Rujuta Prajakt Kulkarni, G. K. Revathi

“…The core problem of this research is the rapid and accurate classification of natural disasters, which is essential for effective response and mitigation strategies. …”
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Computerized Interactive Gaming via Supporting Vector Machines by Y. Jiang, J. Jiang, I. J. Palmer

“…In comparison with existing techniques, such as rule-based and neural networks, and so forth, our SVM-based interactive gaming algorithm has the features of (i) high-speed processing, providing instant response to the players, (ii) winner selection and control by one parameter, which can be predesigned and adjusted according to the needs of interaction and game design or specific level of difficulties, and (iii) detection of interaction points is adaptive to the input changes, and no labelled training data is required. …”
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