Pseudoexhaustive memory testing based on March A type march tests by V. N. Yarmolik, I. Mrozek, S. V. Yarmolik

“…The relevance of testing of memory devices of modern computing systems is shown. The methods and algorithms for implementing test procedures based on classical March tests are analyzed. …”
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Computed tomography enterography radiomics and machine learning for identification of Crohn’s disease by Qiao Shi, Yajing Hao, Huixian Liu, Xiaoling Liu, Weiqiang Yan, Jun Mao, Bihong T. Chen

“…This study aims to develop a non-invasive method for detecting bowel lesions associated with Crohn’s disease using CT enterography radiomics and machine learning algorithms. …”
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Artificial intelligence: Applications in cardio-oncology and potential impact on racial disparities by Gift Echefu, Rushabh Shah, Zanele Sanchez, John Rickards, Sherry-Ann Brown

“…Artificial intelligence (AI) holds multifaceted potential to enhance cardio-oncologic outcomes. AI algorithms are currently utilizing clinical data input to identify patients at risk for cardiac complications. …”
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Diagnosing Autoimmune Bullous Diseases—An Indian Perspective by Adhyatm Bhandari, Dipankar De, Shikha Shah, Debajyoti Chatterjee, Vinod Kumar, Rahul Mahajan, Sanjeev Handa

“…It also provides with practically applicable diagnostic algorithms for pragmatic diagnosis of AIBDs in Indian scenario.…”
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Identifying Bots in Social Networks Using the Example of LiveJournal by A. A. Kochkarov, N. V. Kalashnikov, R. A. Kochkarov

“…In this paper, we propose an approach to detect bots using the LiveJournal social network as an example. …”
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ULTRASOUND VIDEO ANALYSIS FOR UNDERSTANDING INFANT BREASTFEEDING by G. Monaci, M. Woolridge

“…The proposed algorithms provide, for the firrst time, quantitative indications of the type of activities carried out during breastfeeding by the baby, promising unprecedented advancements in the field.…”
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Advances and challenges in neoantigen prediction for cancer immunotherapy by Yi Zhang, Ting-Ting Chen, Xiong Li, Ai-Lin Lan, Peng-Fei Ji, Ya-Juan Zhu, Xue-Yao Ma

“…Immunogenomics identifies tumor-specific mutations via next-generation sequencing. Immunopeptidomics detects MHC-presented peptides using mass spectrometry. …”
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T2 <italic>Candida</italic> Panel: A Game Changer in Diagnosis of Fungal Infections by Devesh N Joshi, Bhaskar Shenoy

“…The five detectable <italic>Candida</italic> spp. are responsible for >95% of the total <italic>Candida</italic> infections. …”
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FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency by Valerie Restat, Indra Diestelkämper, Meike Klettke, Uta Störl

“…Although many different algorithms and tools already exist for data cleaning, an end-to-end data quality solution is still needed. …”
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Diabetes Mellitus Disease Prediction and Type Classification Involving Predictive Modeling Using Machine Learning Techniques and Classifiers by B. Shamreen Ahamed, Meenakshi S. Arya, S. K. B. Sangeetha, Nancy V. Auxilia Osvin

“…Various Machine-Learning (ML) algorithms are being used in order to predict and detect the disease to avoid further complications of health. …”
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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…Unlike prior research, the presented approach does not provide segmentation of cell nuclei in the image, but only requires to detect them and count their number. This avoids complex algorithmic calculations and provides good accuracy of counting cell nuclei.The paper describes a series of experiments conducted to assess the effectiveness of the proposed method using the available online database of medical test histological images. …”
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Quality assessment of chicken using machine learning and electronic nose by Hassan Anwar, Talha Anwar

“…This study investigates the use of an electronic nose system—a sensor array that detects odors and generates data, which is then analyzed by machine learning algorithms to predict chicken freshness. …”
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Advancements in remote sensing technologies for accurate monitoring and management of surface water resources in Africa: an overview, limitations, and future directions by Maria Sigopi, Cletah Shoko, Timothy Dube

“…The review further examines the efficiency and applicability of traditional algorithms such as the modified normalized difference water index (MNDWI), normalized difference water index (NDWI), and automated water extraction index (AWEI) in detecting and delineating surface water resources. …”
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Simultaneous Instance and Attribute Selection for Noise Filtering by Yenny Villuendas-Rey, Claudia C. Tusell-Rey, Oscar Camacho-Nieto

“…Removing or reducing noise can help classification algorithms focus on relevant patterns, preventing them from being affected by irrelevant or incorrect information. …”
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Traumatic Brain Injury and Artificial Intelligence: Shaping the Future of Neurorehabilitation—A Review by Seun Orenuga, Philip Jordache, Daniel Mirzai, Tyler Monteros, Ernesto Gonzalez, Ahmed Madkoor, Rahim Hirani, Raj K. Tiwari, Mill Etienne

“…Despite these advances, ethical considerations, including biases in AI algorithms and data generalizability, pose challenges that must be addressed to optimize AI’s implementation in clinical settings. …”
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Multivariate, Automatic Diagnostics Based on Insights into Sensor Technology by Astrid Marie Skålvik, Ranveig N. Bjørk, Enoc Martínez, Kjell-Eivind Frøysa, Camilla Saetre

“…We demonstrate the diagnostic power of the algorithms on high-resolution measurements of temperature and conductivity from the OBSEA observatory about 50 km south of Barcelona, Spain.…”
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On the topology design of large wireless sensor networks for distributed consensus with low power consumption by Marta Zárraga-Rodríguez, Xabier Insausti, Jesús Gutiérrez-Gutiérrez

“…A common approach for wireless structural health monitoring is to use a distributed computation strategy, which is usually based on consensus algorithms. Power consumption in such wireless consensus networks depends on the number of connections of the network. …”
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The Role of Radiological Imaging in the Diagnosis of Acute Appendicitis by E Albiston

“…Several strategies have been employed to improve the accuracy of the diagnosis of appendicitis and to reduce the associated perforation rate. Because clinical algorithms have been disappointing, many physicians resort to radiological modalities. …”
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Modeling and countermeasures of a social network-based botnet with strong destroy-resistance by Tao YIN, Shi-cong LI, Yu-peng TUO, Yong-zheng ZHANG

“…To defeat botnets and ensure cyberspace security,a novel social network-based botnet with strong destroy-resistance (DR-SNbot),as well as its corresponding countermeasure,was proposed.DR-SNbot constructed command and control servers (C＆C-Servers) based on social network.Each C＆C-Server corresponded to a unique pseudo-random nickname.The botmaster issues commanded by hiding them in diaries using information hiding techniques,and then a novel C＆C channel was established.When different proportions of C＆C-Servers were invalid,DR-SNbot would send out different levels of alarms to inform attackers to construct new C＆C-Servers.Then,DR-SNbot could automatically repair C＆C communication to ensure its strong destroy-resistance.Under the experimental settings,DR-SNbot could resume the C＆C communication in a short period of time to keep 100% of the control rate even if all the current C＆C-Servers were invalid.Finally,a botnet nickname detecting method was proposed based on the difference of lexical features of legal nicknames and pseudo-random nicknames.Experimental results show that the proposed method can effectively (precision:96.88%,recall:93%) detect pseudo-random nicknames generated by social network-based botnets with customized algorithms.…”
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Making JavaScript Render Decisions to Optimize Security-Oriented Crawler Process by Onur Aktas, Ahmet Burak Can

“…In the process of identifying security vulnerabilities in web applications, a systematic approach is employed to detect and mitigate cybersecurity risks. This approach utilizes web crawlers to identify attack vectors. …”
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