Accurately assessing congenital heart disease using artificial intelligence by Khalil Khan, Farhan Ullah, Ikram Syed, Hashim Ali

“…In addition, the article also evaluates the strengths and weaknesses of existing algorithms, offering a critical review of their performance and limitations. …”
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Optimizing knee osteoarthritis severity prediction on MRI images using deep stacking ensemble technique by Punita Panwar, Sandeep Chaurasia, Jayesh Gangrade, Ashwani Bilandi, Dayananda Pruthviraja

“…KOA is a persistent condition, also referred to as progressive joint Disease, stemming from the continual deterioration of cartilage. …”
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Risk communication: ethics, psychology, law by E. O. Taratukhin

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APOTHEOSIS: An efficient approximate similarity search system by Daniel Huici, Ricardo J. Rodríguez, Eduardo Mena

“…Specifically, it uses a custom hierarchical small navigation world as an approximate K-nearest neighbors search method, and approximate similarity digests algorithms to find common features between similar data items, also supporting various distance metrics beyond vector-based approaches. …”
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Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends by Farag M.A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, Anupam Yadav, José Gerardo León Chimbolema, Suhas Ballal, Abhayveer Singh, Anita Devi, Kamal Kant Joshi, Nizomiddin Juraev, Hossein Mahabadi Asl

“…Three distinct black-box algorithms, including Regression Tree (RT), Radial Basis Function Neural Network (RBF-NN) and Support Vector Machine (SVM) were employed to model FFT. …”
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Methodology for Building a Prototype System for Complex Data Analysis of Thematic Sites by I. I. Piletski, M. P. Batura, N. A. Volarava

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A secure and scalable blockchain-based model for electronic health record management by Kalyani Pampattiwar, Pallavi Chavan

“…The model also introduces mechanisms for ensuring database integrity, mitigating external attacks, and enhancing usability. …”
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Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics by Saurabh Sharma, Vijay Kumar Gahlawat, Kumar Rahul, Rahul S Mor, Mohit Malik

“…It is found that utilization of AI techniques and the intelligent optimization algorithm also leads to significant process and production management. …”
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Application of machine learning in corrosion inhibition study by Thankappan Sasilatha, Susai Rajendran, Senthil Kumaran Selvaraj, Časlav Lacnjevac, Rajendran Joseph Rathish

“…Deep Learning and Machine Learning are also used in corrosion science and engineering. They are used to choose the inhibitor molecules from a large pool of available molecules.…”
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Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning by Bruno Matos Porto, Flavio Sanson Fogliatto

“…Methods Six machine learning (ML) algorithms were tested on forecasting horizons of 7 and 45 days. …”
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Leveraging Machine Learning for Optimized Mechanical Properties and 3D Printing of PLA/cHAP for Bone Implant by Francis T. Omigbodun, Norman Osa-Uwagboe, Amadi Gabriel Udu, Bankole I. Oladapo

“…The results indicate that increasing cHAP content improves the tensile and compressive strength of the scaffolds, although it also increases brittleness. Notably, incorporating cHAP at 7.5% and 10% significantly enhances thermal stability and mechanical performance, with properties comparable to or exceeding those of human cancellous bone. …”
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A genetic programming-based ensemble method for long-term electricity demand forecasting by Hayat Ahmed Issa, Hasan Hüseyin Çevik, Ahmet Yilmaz, Mehmet Cunkas

“…In the initial stage, genetic algorithms, particle swarm optimization, and simulated annealing methods are applied to various regression models (linear, quadratic, and exponential). …”
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Structural health monitoring and evaluation method for an immersed tunnel based on deep learning by Yuhang Wei, Jinfang Hou, Linhu Yang, Bin Li, Zonghao Ma, Zhao Liu, Wenhao Sun, Binlei Wang

“…This research examines sensor data to evaluate variations in critical parameters and their effects on structural integrity. It also compares the efficacy of two deep learning algorithms, Long Short-Term Memory (LSTM) and Transformer, in predicting structural conditions. …”
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The Task of Allocating Operations to Work Centers: Modern Approaches to Cost Minimization and Efficiency Improvement under Resource Constraints by Nikolay Nikitin, Igor Ilin, Alissa Dubgorn

“…The paper considers the limitations of classical optimization methods such as linear programming, a review of modern approaches, including combinatorial algorithms, methods of the theory of schedules. Special attention is paid to heuristic algorithms, such as genetic algorithms, simulated annealing, and ant algorithms, which allow us to find acceptable solutions in a short time. …”
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Enhanced Circuit Board Analysis: Infrared Image Segmentation Utilizing Markov Random Field (MRF) and Level Set Techniques by T. Praveenkumar, S. Anthoniraj, S. Kumarganesh, M. Somaskandan, K. Martin Sagayam, Binay Kumar Pandey, Digvijay Pandey, Suresh Kumar Sahani

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Risk and resilience based residential electric vehicle integration framework for restoration of modern power distribution networks by Abdullah Ali M. Alghamdi, Dilan Jayaweera

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Approximate String Matching with Non-Overlapping Adjacent Unbalanced Translocations by Domenico Cantone, Simone Faro, Arianna Pavone

“…Our second solution improves the previous one by making use of the Directed Acyclic Word Graph of the pattern. Finally, our third algorithm is based on an alignment procedure. We also show that under the assumptions of equiprobability and independence of characters, our second algorithm has an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="script">O</mi><mo>(</mo><mi>n</mi><msubsup><mo form="prefix">log</mo><mi>σ</mi><mn>2</mn></msubsup><mi>m</mi><mo>)</mo></mrow></semantics></math></inline-formula> average time complexity for an alphabet of size <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>σ</mi><mo>≥</mo><mn>4</mn></mrow></semantics></math></inline-formula>.…”
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A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogeneous Computing Environments by Maryam Abbasi, Filipe Cardoso, Paulo Váz, José Silva, Pedro Martins

“…The emergence of large-scale quantum computing presents an imminent threat to contemporary public-key cryptosystems, with quantum algorithms such as Shor’s algorithm capable of efficiently breaking RSA and elliptic curve cryptography (ECC). …”
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Associations between forest vertical structure and habitat preferences of black-and-white snub-nosed monkeys (Rhinopithecus bieti) in high-elevation environments by Zhipang Huang, Yuling Chen, Haitao Yang, Yihao Fang, Kai Cheng, Hongcan Guan, Cyril C. Grueter, Wen Xiao, Qinghua Guo

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Research on Digital Media Art for Image Caption Generation Based on Integrated Transformer Models in CLIP by Lu Gao, Xiaofei Pang

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