Functional and Evolutionary Characterization of the NSP6 Protein in SARS-CoV-2 Omicron Variants by Joyhare Barbosa Souza, Samir Mansour Moraes Casseb

“…Sequences from humans in South America were obtained from GISAID and aligned using Clustal Omega 1.2.4, with mutations identified by a Python 3 algorithm and conserved motifs detected using the MEME tool. …”
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Diagnosis of Bearing Defects based on the Analysis of Vibration Images Using the RKEM SIFT Descriptor Method by Zohreh Hashempour, Hamed Agahi, Azar Mahmoodzadeh

“…This paper proposes a new method for detecting defects in bearings based on a combination of feature extraction algorithms in which a two-dimensional signal is used. …”
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A Two-Stage Sequential Framework for Traffic Accident Post-Impact Prediction Utilizing Real-Time Traffic, Weather, and Accident Data by Amirhossein Abdi, Seyedehsan Seyedabrishami, Steve O’Hern

“…Detecting road accident impacts as promptly as possible is essential for intelligent traffic management systems. …”
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Clusters from chronic conditions in the Danish adult population. by Anders Stockmarr, Anne Frølich

“…Yet the structure of chronic conditions in individuals with multimorbidity, viewed as a population, is largely unmapped. We use algorithmic diagnoses and the K-means algorithm to cluster the entire 2015 Danish multimorbidity population into 5 clusters. …”
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Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism. by Yutong Liu, Shile Zhang

“…During model training, the Adam optimization algorithm is employed, and the model's performance is enhanced by introducing a customized dependency self-attention mechanism for parameter optimization. …”
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Early repolarization syndrome in modern interpretation by T. V. Ashcheulova, N. M. Herasymchuk, I. V. Sytina

“…Objective is to generalize the data of experimental and clinical studies which have found that the early repolarization syndrome is an idiopathic electrocardiographic phenomenon, which is considered by various specialists ambiguously; to assess the state of the cardiovascular system in the subjects, both adults and children with early repolarization syndrome, and to propose a diagnostic algorithm for detecting this phenomenon on the ECG when admitting to physical exercise and sports. …”
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Development of a UR5 Cobot Vision System with MLP Neural Network for Object Classification and Sorting by Szymon Kluziak, Piotr Kohut

“…This paper presents the implementation of a vision system for a collaborative robot equipped with a web camera and a Python-based control algorithm for automated object-sorting tasks. The vision system aims to detect, classify, and manipulate objects within the robot’s workspace using only 2D camera images. …”
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Enhanced‐Resolution Learning‐Based Direction of Arrival Estimation by Programmable Metasurface by Nawel Meftah, Badreddine Ratni, Mohammed Nabil El Korso, Shah Nawaz Burokur

“…While traditional DOA estimation methods rely on antenna arrays and complex algorithms, recent progress achieved in the design and implementation of metasurfaces has proved their effectiveness as promising alternatives. …”
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Synergistic use of handcrafted and deep learning features for tomato leaf disease classification by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

“…It utilizes enhancement filters and segmentation algorithms to isolate with Regions-of-Interests (ROI) in images tomato leaves. …”
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Indoor Multidimensional Reconstruction Based on Maximal Cliques by Yongtong Zhu, Lei Li, Na Liu, Qingdu Li, Ye Yuan

“…Applying deep learning models to obtain stereoscopic scene information, accompanied by algorithms such as target detection and semantic segmentation to obtain finer labels of things, is the dominant paradigm for robots. …”
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Deep-Learning and Dynamic Time Warping-Based Approaches for the Diagnosis of Reactor Systems by Hoejun Jeong, Jihyun Kim, Doyun Jung, Jangwoo Kwon

“…Previous studies have concentrated on the detection of clamping force degradation but have been constrained in their ability to identify the precise size and position. …”
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Improving the continuous photogrammetric monitoring system by M. A. Núñez-Andrés, A. Prades-Valls

“…This system, consisting of three cameras, has since captured images that are sent to the server located at the UPC, where they are processed to detect movements in the rock massif over time. If a rockfall is detected, a three-dimensional model is generated to estimate the volume of rock mobilised.…”
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Artificial intelligence, generative artificial intelligence and research integrity: a hybrid systemic review by Khalid H. Arar, Hamit Özen, Gülşah Polat, Selahattin Turan

“…The study also identifies risks such as biased algorithms, plagiarism risk, false information production, and potential damage to academic integrity. …”
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Rolling Cargo Management Using a Deep Reinforcement Learning Approach by Rachid Oucheikh, Tuwe Löfström, Ernst Ahlberg, Lars Carlsson

“…In this paper, we apply state-of-the-art deep reinforcement learning algorithms to automate these operations in a complex and real environment. …”
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A new era in treatment of cardiac amyloidosis: an overview of the Congress of cardiology by I. E. Strelkova

“…Advent of the first drug specific for treatment of transthyretin amyloid cardiomyopathy in Russia increased a need of awareness of ATTR-CM among general practitioners  and cardiologists, and introduction of modern diagnostic algorithms for this disease. Timely detection and competent differential diagnosis of ATTR-CM from other types of amyloid cardiomyopathy  can play a decisive role in the prognosis of this disease. …”
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The role of neurovisualization in monitoring stroke risk among athletes: a review by Bauyrzhan Omarov, Akbayan Aliyeva

“…Discussion: the findings were consistent with previous studies that supported the use of multimodal imaging and computational tools in stroke risk evaluation. however, data heterogeneity and algorithmic transparency were identified as persistent challenges across the reviewed literature. …”
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Diagnostic characteristics of Xpert MTB/RIF assay for the diagnosis of tuberculous meningitis and rifampicin resistance in Southern Brazil by Sergio Monteiro de Almeida, Gislene Maria Botão Kussen, Laura Cogo, José Henrique Carvalho, Keite Nogueira

“…Xpert MTB/RIF contributes significantly to the diagnosis of TBM, mainly when coupled with the conventional microbiological tests and clinical algorithms.…”
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A Method for Aileron Actuator Fault Diagnosis Based on PCA and PGC-SVM by Wei-Li Qin, Wen-Jin Zhang, Chen Lu

“…Finally, the GS and CV algorithms are employed to train a one-versus-one SVM for fault classification, thus obtaining the optimal model parameters and assuring the generalization of the trained SVM, respectively. …”
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Active Reinforcement Learning for the Semantic Segmentation of Urban Images by Mahya Jodeiri Rad, Costas Armenakis

“…Image segmentation using supervised learning algorithms usually requires large amounts of annotated training data, while urban datasets frequently contain unbalanced classes leading to poor detection of under-represented classes. …”
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AI Methods for New Psychoactive Substance (NPS) Design and Analysis by Enrico Greco

“…Special emphasis is placed on mass spectrometry (MS)-based techniques, where AI algorithms (e.g., for spectral prediction and pattern recognition) are revolutionizing the detection and characterization of unknown NPSs. …”
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