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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Controlled random tests with limited Hamming distance by V. N. Yarmolik, V. V. Petrovskaya, D. V. Demenkovets, V. A. Levantsevich

“…Objectives. The problem of constructing controlled random tests with a fixed minimum Hamming distance is solved. …”
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Adversarial Sample Generation Method Based on Frequency Domain Transformation and Channel Awareness by Yalin Gao, Dongwei Xu, Huiyan Zhu, Qi Xuan

“…In OFDM wireless communication systems, low-resolution channel characteristics and noise interference pose significant challenges to accurate channel estimation. To solve these problems, we propose a super-resolution denoising residual network (SDRNet), which combines the advantages of the super-resolution convolutional neural network (SRCNN) and the denoising convolutional neural network (DnCNN) to construct a pilot-based OFDM signal model, train SDRNet using OFDM pilot data containing Gaussian noise, and optimize its feature enhancement ability in frequency-selective fading channels. …”
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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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Short text automatic scoring system based on BERT-BiLSTM model by XIA Linzhong, YE Jianfeng, LUO De’an, GUAN Mingxiang, LIU Jun, CAO Xuemei

“…Aiming at the problems of sparse features, polysemy of one word and less context related information in short text automatic scoring, a short text automatic scoring model based on bidirectional encoder representations from transformers - bidirectional long short-term memory (BERT-BiLSTM) is proposed. …”
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Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

“…In this research, a hybrid approach utilises techniques with quantum computing capabilities to tackle complex problems that are not amenable to conventional ML algorithms and to minimise computational expenses. …”
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IOF-Tracker: A Two-Stage Multiple Targets Tracking Method Using Spatial-Temporal Fusion Algorithm by Hongbin Liu, Yongze Zhao, Peng Dong, Xiuyi Guo, Yilin Wang

“…However, issues such as occlusions, directional changes, or shape alterations can cause appearance variations, leading to detection and matching problems that in turn result in frequent ID switches. …”
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Subclinical and long-term effects of severe acute respiratory syndrome coronavirus 2 infection in Danish farmed mink: implications for disease surveillance by Michelle Lauge Quaade, Mia Mylin Jensen, Thomas Bruun Rasmussen, Tim Kåre Jensen, Anne Sofie Hammer

“…The current SARS-CoV-2 surveillance system on Danish mink farms does not properly address such problems and repeated outbreaks on farms could occur without detection if there are no clinical signs or increased mortality due to SARS-CoV-2. …”
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From Stationary to Nonstationary UAVs: Deep-Learning-Based Method for Vehicle Speed Estimation by Muhammad Waqas Ahmed, Muhammad Adnan, Muhammad Ahmed, Davy Janssens, Geert Wets, Afzal Ahmed, Wim Ectors

“…The study also discusses the associated problems and constraints with nonstationary drone footage as input and proposes strategies for minimizing noise and inaccuracies. …”
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Variants of storage and perioperative use of autologous blood components by Yu. S. Bocharova, V. A. Sorokovikov, S. N. Bocharov

“…The article is devoted to the problem of perioperative blood replacement in selective surgery by the way that is based on the principle of normalization of transcapillary exchange with use of different variants of autologous blood components storage. …”
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The Charophytes (Characeae, Charophyceae) of the Caucasus by Roman E. Romanov, Liubov V. Zhakova, Andrey N. Efremov, Galina Yu. Konechnaya, Olga N. Boldina, Dmitry F. Afanasyev, Tatiana V. Akatova, Denis G. Melnikov

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FASI-Net: Frequency-Domain Information Assisted Semantic Interaction Network for Bitemporal Remote Sensing Images Change Detection by Fenglei Chen, Haijun Liu, Zhihong Zeng, Xiaoheng Tan

“…To address the abovementioned problems, this article proposes a frequency-domain information assisted semantic interaction network (FASI-Net) to ensure the effective extraction of crucial semantic information in the original bitemporal features. …”
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“FROM THE POLISH CARD OF LEO TOLSTOY” BY PROFESSOR B. BIALOKOZOVICH: METHODOLOGY AND CONSTRUCTIVENESS by Luiza K. Olyander

“…The expediency of raising the problem – the specifics of Polish scientist`s methodology, is substantiated. …”
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A quantitative evaluation method of laser treatment efficacy for pigmentary dermatosis based on image segmentation technology by Haopu Jian, Qi Chen, Youjun Yu, Cheng Wang, Peiru Wang, Xiuli Wang

“…Images of the tattoo models were captured before and after laser treatment, and feature extraction was conducted to quantify the tattooed area and pigment gradation. …”
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Combination of Graph and Convolutional Networks for Brain Tumor Segmentation from Multi-Modal MR Images In Clinical Applications by Marjan Vatanpour, Javad Haddadnia, Shahryar Salmani Bajestani

“…After retrieving the feature representation of the CNN, a graph model is created and fed to the GNN. …”
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Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm by Faris Kateb, Mahmoud Ragab, Felwa Abukhodair, Omar Ahmed Abdulkader, Louai A. Maghrabi, Sami Saeed Binyamin, Mohammed Khaled Al-Hanawi

“…The bacterial foraging optimization algorithm (BFOA) method is used for feature extraction. Moreover, a convolutional neural network with long short-term memory (CNN-LSTM-Attention) technique is used for disease detection and classification. …”
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Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study by Mamoun T Mardini, Chen Bai, Anthony A Bavry, Ahmed Zaghloul, R David Anderson, Catherine E Crenshaw Price, Mohammad A Z Al-Ani

“…The Shapley Additive Explanations analysis found that congestive heart failure management, back problems, and atrial fibrillation were the top frailty predictors. …”
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A Method for the 3D Reconstruction of Landscape Trees in the Leafless Stage by Jiaqi Li, Qingqing Huang, Xin Wang, Benye Xi, Jie Duan, Hang Yin, Lingya Li

“…Finally, the 3D reconstructed point cloud was used to generate the QSM and extract tree feature parameters to verify the accuracy of the reconstructed model. …”
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PERFORMANCE EVALUATION OF THE INDF.JK STOCK PRICE MOVEMENT PREDICTION MODEL USING RANDOM FOREST METHOD WITH GRID SEARCH CROSS VALIDATION OPTIMIZATION by Della Zaria, Evy Sulistianingsih, Shantika Martha, Wirda Andani

“…When determining the right time to buy or sell stocks, volatile stock price movements and losses caused by wrong decisions are investors' problems. Thus, it is essential to analyze stock price movement predictions. …”
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Deep Learning Approaches for Retinal Disease Identification in Fundus Imaging: A Comprehensive Overview by Ismael Abdulkareem Ali, Sozan Abdullah Mahmood

“…In this paper, we propose a concise review of introducing most of the DL, hybrid, and ensemble models utilized for the purpose of identification and classification of eye diseases. Various datasets, feature extraction techniques, and metrics for performance evaluation are discussed. …”
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