Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact by A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver, Pelin Güneri, Betül İlhan

“…Future work should focus on developing automated segmentation algorithms for M3M and IAC on PRs, to identify relevant anatomical structures, thereby improving clinical usability. …”
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Efficient Implementation of Mahalanobis Distance on Ferroelectric FinFET Crossbar for Outlier Detection by Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay

“…A huge amount of data is being collected in this era of big data, predominantly for AI/ML algorithms and emerging applications. Considering such voluminous quantities, the collected data may contain a substantial number of outliers which must be detected before utilizing them for data mining or computations. …”
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Application of Gene Expression Programming to Evaluate Strength Characteristics of Hydrated-Lime-Activated Rice Husk Ash-Treated Expansive Soil by Kennedy C. Onyelowe, Fazal E. Jalal, Michael E. Onyia, Ifeanyichukwu C. Onuoha, George U. Alaneme

“…In this work, expansive soil classified as A-7-6 group soil was treated with hydrated-lime activated rice husk ash (HARHA) in an incremental proportion to produce 121 datasets, which were used to predict the behavior of the soil’s strength parameters utilizing the mutative and evolutionary algorithms of GEP. The input parameters were HARHA, liquid limit (wL), (plastic limit wP, plasticity index IP, optimum moisture content (wOMC), clay activity (AC), and (maximum dry density (δmax) while CBR, UCS, and R value were the output parameters. …”
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Numerical studies of the efficiency of binary geothermal power plants at the studied thermal fields of Russia by Stanislav A. Yankovsky, Alexandr S. Zavorin, Natalia S. Yankovsky, Svyatoslav A. Tsibulskiy

“…Numerical studies based on mathematical algorithms of binary geothermal plant systems, comparative analysis of the efficiency of binary geothermal plants based on various external parameters. …”
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Head and Neck Paragangliomas: 16-year Single-center Experience and Mini Review on Diagnosis, Treatment, and Follow-up by Gokce AYDEMIR, Fazil Necdet ARDIC, Cuneyt Orhan KARA, Ferda BIR

“…The additional goal is to contribute to the existing knowledge on head and neck paraganglioma, with a particular emphasis on refining diagnostic algorithms, treatment selection, and follow-up procedures. …”
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Geographical Peer Matching for P2P Energy Sharing by Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou, Ralf Klasing

“…Our experimental study, based on real-world energy data, demonstrates that our proposed solutions are efficient both in terms of cost savings achieved by the peers and in terms of communication and computing requirements. Our scalable algorithms thus provide one core building block for practical and data-efficient peer-to-peer energy sharing communities within large-scale optimization systems.…”
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Diagnostic value of the appendicitis inflammatory response (AIR) score. A systematic review and meta-analysis by Roland E. Andersson, Joachim Stark

“…Abstract Background Clinical scoring algorithms are cost efficient in patients with suspicion of acute appendicitis. …”
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Tracking illegal activities using video surveillance systems: a review of the current state of research by D. O. Zhadan, M. V. Mordvyntsev, D. V. Pashniev

“…To solve the problem of video data processing, various methods are used, the most modern of which is the use of artificial intelligence to filter a large amount of data from video cameras and the application of various video processing algorithms. The ability to simultaneously process video data from many CCTV cameras without human intervention not only contributes to public safety, but also improves the work of patrol police. …”
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Accelerating editorial processes in scientific journals: Leveraging AI for rapid manuscript review by Luca Fiorillo, Vini Mehta

“…Materials and methods: The study explores AI's role in chatbot development, examining how AI algorithms and machine learning facilitate human-like conversations in diverse industries. …”
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Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning by Alejandro Baldominos, Yago Saez, Pedro Isasi

“…Moreover, we take advantage of the fact that evolutionary algorithms optimize a population of candidate solutions, by combining a set of the best evolved models resulting in a committee of convolutional neural networks. …”
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Using frequency regulation to improve the energy efficiency of pumping units in switching circuits with a water tower by Kapanski A. A.

“…The development of the water supply system for small settlements involves the use of frequency converters and specialized control algorithms capable of maintaining the pressure level established in the network within certain limits. …”
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Implementing Machine Learning for Supply-Demand Shifts and Price Impacts in Farmer Market for Tool and Equipment Sharing by Manik Rakhra, Amitabh Bhargava, Deepshikha Bhargava, Ramandeep Singh, Astha Bhanot, Abdul Wahab Rahmani

“…In this work, demand and supply algorithms are used to define market equilibrium, and the results are shown in graphs. …”
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Movement Disorders and Smart Wrist Devices: A Comprehensive Study by Andrea Caroppo, Andrea Manni, Gabriele Rescio, Anna Maria Carluccio, Pietro Aleardo Siciliano, Alessandro Leone

“…Moreover, some articles also reported the type of raw data extracted from the smart wrist device, the implemented designed algorithmic pipeline, and the data classification methodology. …”
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TS-PAID: A Two-Stage PUF-Based Lightweight Authentication Protocol for Internet of Drones by Shehzad Ashraf Chaudhry, Azeem Irshad, Bander A. Alzahrani, Ahmad Alhindi, Mohd Shariq, Ashok Kumar Das

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Peculiarities of Forming the Methodology for Investigating Criminal Offenses against the Authority of State Agencies in the Law Enforcement Sphere by V. O. Gusieva

“…It has been established that the structure of methods of investigating criminal offenses against the authority of state agencies in the field of law enforcement activity should consist of the following elements: 1) forensic characteristics of criminal offenses against the authority of state agencies in the field of law enforcement activity; 2) circumstances to be established; 3) features of the beginning of criminal proceedings, typical investigative situations, algorithms of investigative (search) and procedural actions at the initial and subsequent stages of investigation; 4) specific features of tactics of conducting certain investigative (search), covert investigative (search) and procedural actions; 5) general features of using special knowledge; 6) specific features of forensic prevention of criminal offenses against the authority of state agencies in the field of law enforcement activity.…”
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Global progress, challenges and strategies in eliminating public threat of viral hepatitis by Sihui Zhang, Fuqiang Cui

“…Main text The updated World Health Organization guidelines for the prevention, diagnosis, care and treatment for people with chronic hepatitis B infection (2024 edition) and Chinese guidelines for the prevention and treatment of chronic hepatitis B (version 2022) simplify clinical algorithms for the diagnosis, treatment, and monitoring of hepatitis B, expand treatment eligibility criteria, and provide alternative treatment options, which will cover a higher proportion of all hepatitis B surface antigen positive populations. …”
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Logistic Regression Model Using Scheimpflug-Placido Cornea Topographer Parameters to Diagnose Keratoconus by Emre Altinkurt, Ozkan Avci, Orkun Muftuoglu, Adem Ugurlu, Zafer Cebeci, Kemal Turgay Ozbilen

“…The LRA model can distinguish keratoconus corneas from normal ones with high accuracy without the need for complex computer algorithms.…”
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Design of an iterative method for enhanced early prediction of acute coronary syndrome using XAI analysis by Shital Hajare, Rajendra Rewatkar, K.T.V. Reddy

“…The study harnesses diverse algorithms—Support Vector Machines, Logistic Regression, Gradient Boosting Machines, and Deep Forest—tailored for nuanced ACS detection, balancing simplicity with computational depth to optimize performance metrics. …”
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Enhanced gap-filling for satellite-derived crop monitoring using temperature-driven reconstruction techniques by Flavian Tschurr, Lukas Valentin Graf, Achim Walter, Helge Aasen

“…Our approach requires fewer satellite observations compared to traditional remote sensing time series algorithms, making it suitable for agricultural areas with high cloud cover. …”
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Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy by Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, Saeed Ahmed, Pramote Chumnanpuen

“…Secondly, we applied a multi-view feature fusion (MVFF) strategy to extract and explore probability and category information embedded in TIPs, employing several machine learning (ML) algorithms coupled with different commonly used sequence-based feature encodings. …”
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