A Survey of Dense Object Detection Methods Based on Deep Learning by Yang Zhou, Hui Li

“…In recent years, thanks to the development and advancement of deep learning methods, object detection algorithms and frameworks have made significant breakthroughs, allowing many detection methods to be applied to real-world scenarios. …”
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Discovering Approximate and Significant High-Utility Patterns from Transactional Datasets by Huijun Tang, Le Wang, Yangguang Liu, Jiangbo Qian

“…However, the time-space efficiency of the algorithms is still limited, and the mining system cannot provide timely feedback on relevant information. …”
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Effects of individuality, education, and image on visual attention: Analyzing eye-tracking data using machine learning by Sangwon Lee, Yongha Hwang, Yan Jin, Sihyeong Ahn, Jaewan Park

“…Because of the reverse nature of the classification algorithms that automatically learn from data, we could identify relevant parameters and distinguishing eye-tracking patterns that have not been reported in previous studies.…”
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On the Comparison of Markov Chains-based Models in Process Mining for Healthcare: A Case Study by Mauro Vallati, Stefania Orini, Mariagrazia Lorusso, Mariachiara Savino, Roberto Gatta, Massimiliano Filosto

“…Previous studies have suggested approaches for comparing the (few) available discovery algorithms and measure their quality. However, a general and clear comparison framework is missing, and none of the analyzed algorithms exploits Markov Chains-based Models. …”
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Neural representation of consciously seen and unseen information by Pablo Rodríguez-San Esteban, Jose A. Gonzalez-Lopez, Ana B. Chica

“…Participants’ EEG signal was recorded while performing the task and was then analysed by using ML algorithms to decode distinctive task-related parameters. …”
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Comparison of tone mapping methods during images processing on liquid crystal displays by A. V. Sycev, A. A. Stepanov, A. G. Smirnov, K. .. Blankenbach

“…Image enhancement algorithms improve readability on liquid crystal displays under bright ambient light conditions and are the theme of many researchers and developers. …”
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SELECTION OF LINEAR AND ELLIPTICAL OBJECTS IN THE IMAGE BASED ON THE CALCULATION OF THE CORRELATION COEFFICIENT by V. V. Bulatov

“…Traditionally, filtering, binarization, wavelet analysis, contour analysis are used. Also recently, algorithms based on neural networks have become popular. …”
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Littératie algorithmique et pratiques médiatiques des jeunes à Bruxelles by Sylvain Malcorps, Arnaud Claes, Thibault Philippette, Marie Dufrasne

“…Recommendation algorithms play an undeniable role in the access to information, and are aimed at making browsing easier for users by recommending the most "relevant" content according to a series of criteria selected by their designers. …”
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Overview of development and challenges of attitude determination for rotary wing UAVs based on GNSS by Yejia Zeng, Zukun Lu, Zukun Lu, Yuchen Xie, Yuchen Xie, Binbin Ren, Binbin Ren, Yi Yu, Shaojie Ni, Shaojie Ni

“…This paper mainly discusses the relevant theories of using GNSS for RUAV’s attitude determination, and introduces the relevent key aspects that determine attitude accuracy in the attitude resolution process, such as integer ambiguity fixing, attitude solution algorithms, and integrated attitude measurement. …”
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FEATURES OF THERAPEUTIC SUPPORT FOR PATIENTS WITH POLYTRAUMA by I.A. Mormol, O.A. Borzykh, I.P. Kaidashev

“…The given clinical case proves us expediency of developing the personified approach to management of patients with polytrauma, using the individual algorithms.…”
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A Review Investigation of Damage Identification in Structures via Internet of Things by Abolfazl Yosefi, Hamidreza Nasseri

“…These networks can dynamically amass real-time structural data and utilize intelligent algorithms to detect damage within structures. IoT sensors can be deployed to monitor intricate structures continually, promptly notifying relevant engineers and experts in the event of damage. …”
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Popularity Bias in Recommender Systems: The Search for Fairness in the Long Tail by Filippo Carnovalini, Antonio Rodà, Geraint A. Wiggins

“…This article proposes a narrative review of the relevant literature to characterize and understand this phenomenon, both in human and algorithmic terms. …”
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Optimizing machine learning for enhanced automated ECG analysis in cardiovascular healthcare by Keyi Tang, Shuyuan Ma, Xiaohui Sun, Dongfang Guo

“…Ultimately, the findings underscore the potential of machine learning and deep learning algorithms in advancing automated ECG analysis for improved cardiovascular healthcare.…”
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IEWNet: Multi-Scale Robust Watermarking Network Against Infrared Image Enhancement Attacks by Yu Bai, Li Li, Shanqing Zhang, Jianfeng Lu, Ting Luo

“…Therefore, IR images may undergo some image enhancement operations prior to use in relevant application scenarios. Furthermore, Infrared Enhancement (IRE) algorithms have a negative impact on the watermarking information embedded into the IR image in most cases. …”
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Artificial Intelligence for the Detection and Treatment of Atrial Fibrillation by David M Harmon, Ojasav Sehrawat, Maren Maanja, John Wight, Peter A Noseworthy

“…AF is the most common clinically relevant cardiac arrhythmia associated with multiple comorbidities, cardiovascular complications (e.g. stroke) and increased mortality. …”
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Tensor networks for lattice gauge theories beyond one dimension by Giuseppe Magnifico, Giovanni Cataldi, Marco Rigobello, Peter Majcen, Daniel Jaschke, Pietro Silvi, Simone Montangero

“…Abstract Tensor network methods are numerical tools and algorithms to study many-body quantum systems in and out of equilibrium, based on tailored variational wave functions. …”
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Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder? by Matthew Amer, Rosalind Gittins, Antonio Martinez Millana, Florian Scheibein, Marica Ferri, Babak Tofighi, Frank Sullivan, Margaret Handley, Monty Ghosh, Alexander Baldacchino, Joseph Tay Wee Teck

“…Applying our collective experiences as OUD policy and treatment experts, we discuss 8 key challenges that OUD treatment services must contend with to make the most of these rapidly evolving technologies: data and algorithmic transparency, clinical validation, new practitioner-technology interfaces, capturing data relevant to improving patient care, understanding and responding to algorithmic outputs, obtaining informed patient consent, navigating mistrust, and addressing digital exclusion and bias. …”
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Probabilistic alignment of multiple networks by Teresa Lázaro, Roger Guimerà, Marta Sales-Pardo

“…We propose a probabilistic approach to the problem of network alignment, as well as the corresponding inference algorithms. Unlike heuristic approaches, our approach is transparent in that all model assumptions are explicit; therefore, it is susceptible of being extended and fine tuned by incorporating contextual information that is relevant to a given alignment problem. …”
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The use of artificial intelligence for automatic analysis and reporting of software defects by Mark Esposito, Mark Esposito, Saman Sarbazvatan, Terence Tse, Gabriel Silva-Atencio

“…This study aimed to determine the most relevant aspects to be considered for detecting software defects using AI. …”
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An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis by Haien Wang, Xingxing Jiang, Wenjun Guo, Juanjuan Shi, Zhongkui Zhu

“…Currently, study on the relevant methods of variational mode decomposition (VMD) is mainly focused on the selection of the number of decomposed modes and the bandwidth parameter using various optimization algorithms. …”
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