Distribution of runs of homozygosity in Lactuca species and its implications for plant breeding and evolutionary conservation by Qianqian Zhang, Wenjun Lv, Defu Liu, Xueying Xie, Ke Yang, You Tang, Johann Solkner

“…The comparison between PLINK computation and our developed in-house algorithm shows that PLINK tends to detect longer ROH, whereas our algorithm adopts a more conservative approach, resulting in fewer and shorter ROH segments detected with higher precision more suitable for NGS data. …”
Get full text

THE LABORATORY-MODELLING COMPLEX FOR RESEARCH of QUALITY INDICATORS Of TELEVISION TYPE OpTiCAL loСation SYSTEM WORK by R. A. Hutsau, A. S. Solonar, S. V. Tsuprik

“…The structure of a laboratory-modeling complex for researching the quality indicators of algorithms work for detection, measurement, support in optical-location systems is offered, using for this purpose as entrance influence a stream of video of the information of phon and target conditions from the multimedia screen.…”
Get full text

Research advancements in the Use of artificial intelligence for prenatal diagnosis of neural tube defects by Maryam Yeganegi, Mahsa Danaei, Sepideh Azizi, Fatemeh Jayervand, Reza Bahrami, Seyed Alireza Dastgheib, Heewa Rashnavadi, Ali Masoudi, Amirmasoud Shiri, Kazem Aghili, Mahood Noorishadkam, Hossein Neamatzadeh

“…This review explores AI and machine learning (ML) in the early detection, prediction, and assessment of neural tube defects (NTDs) through prenatal ultrasound imaging. …”
Get full text

Region-of-interest based fast transcoding for mobile video terminals by HE Qiang1, YANG Gao-bo1, ZHANG Zhao-yang3

“…A fast transcoding scheme based on region of interest（ROI） was proposed for mobile video terminals.According to the target displaying size,the ROIs were automatically detected from the input H.264 video stream based on visual attention model in the video server.The video stream was automatically generated at the proxy server by video transcoding for mobile terminals.Moreover,a fast mode decision algorithm was proposed for video transcoding.Experimental results demonstrate that the proposed approach can not only reduce the bandwidth occupation,but also obtain excellent video quality with a low computational complexity.…”
Get full text

Risk-adaptive access control model for big data in healthcare by Zhen HUI, Hao LI, Min ZHANG, Deng-guo FENG

“…While dealing with the big data in healthcare,it was difficult for a policy maker to foresee what information a doctor may need,even to make an accurate access control policy.To deal with it,a risk-based access control model that regulates doctors’ access rights adaptively was proposed to protect patient privacy.This model analyzed the history of access,applies the EM algorithm and the information entropy technique to quantify the risk of privacy violation.Using the quantified risk,the model can detect and control the over-accessing and exceptional accessing of patients’ data.Experimental results show that this model is effective and more accurate than other models.…”
Get full text

Trends and Variability of North Pacific Polar Lows by Fei Chen, Hans von Storch

“…The 6-hourly 1948–2010 NCEP 1 reanalyses have been dynamically downscaled for the region of the North Pacific. With a detecting-and-tracking algorithm, the climatology of North Pacific Polar Lows has been constructed. …”
Get full text

Risk-adaptive access control model for big data in healthcare by Zhen HUI, Hao LI, Min ZHANG, Deng-guo FENG

“…While dealing with the big data in healthcare,it was difficult for a policy maker to foresee what information a doctor may need,even to make an accurate access control policy.To deal with it,a risk-based access control model that regulates doctors’ access rights adaptively was proposed to protect patient privacy.This model analyzed the history of access,applies the EM algorithm and the information entropy technique to quantify the risk of privacy violation.Using the quantified risk,the model can detect and control the over-accessing and exceptional accessing of patients’ data.Experimental results show that this model is effective and more accurate than other models.…”
Get full text

BEATRIX: An open source humanoid head platform for robotics teaching and research by Gorkem Anil Al, Nicholas Hedworth, Douglas Tilley, Samer Ahmed, Richmond Afeawo, Uriel Martinez-Hernandez

“…The robot can be connected to any external computer for the design and implementation of algorithms for applications in human–robot interaction. …”
Get full text

Modeling Asteroseismic Yields for the Roman Galactic Bulge Time-domain Survey by Trevor J. Weiss, Noah J. Downing, Marc H. Pinsonneault, Joel C. Zinn, Dennis Stello, Timothy R. Bedding, Kaili Cao, Marc Hon, Claudia Reyes, B. Scott Gaudi, Robert F. Wilson, Daniel Huber, Sanjib Sharma

“…We investigate the asteroseismic potential of this survey for red giants. We simulate the detectability of global asteroseismic frequencies, ${\nu }_{{\rm{\max }}}$ and Δ ν , by modifying Kepler data to match nominal GBTDS observing strategies, considering different noise models, observing cadences, and detection algorithms. …”
Get full text

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

“…Our approach, with its unique ability to address multidimensional healthcare data, reassures the method’s robustness by fusing quantum and classical ML algorithms in a multi-step inferential framework. Reducing cardiac morbidity and mortality requires early detection of heart disease. …”
Get full text

A SAR-based flood mapping approach: application of SAR-SIFT registration and modified DeepLabV3 segmentation in flood hazard assessment by Zhuoyu Zhang, Jiaqi Xiong, Xiang Li, Yu Li, Junrong Liu

“…An innovative framework for rapid flood detection leverages Synthetic Aperture Radar (SAR) to overcome cloud obstruction and geolocation inaccuracies. …”
Get full text

AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects by Soha G. Ahmed, Katrien Verbert, Nazar Zaki, Ashraf Khalil, Hamad Aljassmi, Fady Alnajjar

“…This review examines recent advancements in machine learning algorithms and signal processing for rPPG in driver monitoring. …”
Get full text

A novel deep learning model for predicting marine pollution for sustainable ocean management by Michael Onyema Edeh, Surjeet Dalal, Musaed Alhussein, Khursheed Aurangzeb, Bijeta Seth, Kuldeep Kumar

“…The classification was done using two types of machine learning algorithms: two-step clustering and a fully convolutional network (FCN). …”
Get full text

Advancements in Cervical Cancer Screening: Enhancing HPV Testing and Triage Strategies for Improved Risk Assessment by Yana Merdzhanova-Gargova, Magdalena Ivanova, Angelina Mollova-Kysebekirova, Anna Mihaylova, Nikoleta Parahuleva-Rogacheva, Ekaterina Uchikova, Mariya Koleva-Ivanova

“…<b>Conclusions:</b> While liquid-based cytology (LBC) and HPV genotyping improve detection, the introduction of p16/Ki-67 dual staining has enhanced risk stratification, offering higher sensitivity and specificity for detecting high-grade lesions. …”
Get full text

Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review by María de la Paz Scribano Parada, Fátima González Palau, Sonia Valladares Rodríguez, Mariano Rincon, Maria José Rico Barroeta, Marta García Rodriguez, Yolanda Bueno Aguado, Ana Herrero Blanco, Estela Díaz-López, Margarita Bachiller Mayoral, Raquel Losada Durán

“…By synthesizing recent studies, it aims to advance early diagnostic methods to detect AD before significant symptoms occur. …”
Get full text

A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification by Shravan Venkatraman, S. Kanthimathi, K. S. Jayasankar, T. Pranay Jiljith, R. Jashwanth

“…Distributed Denial of Service (DDoS) attacks are a major concern in network security, as they overwhelm systems with excessive traffic, compromise sensitive data, and disrupt network services. Accurately detecting these attacks is crucial to protecting network infrastructure. …”
Get full text

THE WAYS OF IMPROVING METHODICAL BASIS AND INSTRUMENTAL TOOLS OF DECISION MAKING PROCESSES SUPPORT WITHIN THE NATIONAL SECURITY SYSTEM by Volodymyr Y. Bohdanovych, Andrii L. Vysidalko, Oleksandr M. Kosohov

“…It was detected the structure of the analysis tool for the simulation of the processes of formation and distribution of the strategic tasks between the subjects of the NSS.…”
Get full text

Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies by Mohammad Khalili, Hamzehali Nourmohammadi, Nader Naghshineh

“…Consequently, crime prevention is consistently prioritized over crime detection after it occurs. Various methods have been introduced for crime detection, including a wide range of innovative computer techniques. …”
Get full text

PCA-based denoising and automatic recognition of marine biological sounds to estimate Bio-voice Count Index for marine monitoring by Bingjia Huang, Yi Wu, Yihua Lyu, Xi Yan, Mengmeng Tong, Xiaoping Wang

“…We validated these methods using both synthetic soundscapes and 700 min of field recordings from coral reef ecosystems in Sanya, China. The PCA algorithm improved mean signal-to-noise ratios of field recordings by 5.3 dB (from 7.6 dB to 12.9 dB), effectively enhancing biological sound detectability. …”
Get full text

Localization of Capsule Endoscope in Alimentary Tract by Computer-Aided Analysis of Endoscopic Images by Ruiyao Zhang, Boyuan Peng, Yiyang Liu, Xinkai Liu, Jie Huang, Kohei Suzuki, Yuki Nakajima, Daiki Nemoto, Kazutomo Togashi, Xin Zhu

“…Finally, a localization algorithm was proposed to determine the position of the capsule endoscope in the alimentary tract. …”
Get full text