Memory-augment graph transformer based unsupervised detection model for identifying performance anomalies in highly-dynamic cloud environments by Huangyining Gao, Ruyue Xin, Peng Chen, Xi Li, Ning Lu, Peng You

“…Additionally, we introduce a novel dynamic gated memory module to guide the Transformer encoder in extracting hidden features, thereby enhancing the model’s robustness to varying data patterns in dynamic cloud environments. …”
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A New Efficient Hybrid Technique for Human Action Recognition Using 2D Conv-RBM and LSTM with Optimized Frame Selection by Majid Joudaki, Mehdi Imani, Hamid R. Arabnia

“…The 2D Conv-RBM efficiently extracts spatial features such as edges, textures, and motion patterns while preserving spatial relationships and reducing parameters via weight sharing. …”
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A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection by Rodrigo Colnago Contreras, Monique Simplicio Viana, Victor José Souza Bernardino, Francisco Lledo dos Santos, Önsen Toygar, Rodrigo Capobianco Guido

“…With the advancement of computer vision and pattern recognition techniques, new possibilities are emerging to automate and enhance the detection of characteristics associated with ASD, particularly in the analysis of facial features. …”
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End-to-end handwritten Ge’ez multiple numerals recognition using deep learning by Ruchika Malhotra, Maru Tesfaye Addis

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INFLUENCE OF PSYCHOPHYSIOLOGICAL FACTORS OF ETHICAL RELATIONSHIP OF DRIVERS ON THE EFFICIENCY OF THE FREIGHT TRANSPORTATION IN INTERNATIONAL TRAFFIC by О. А. Tettsoeva

“…The main problems of international transportation are inefficient communications, the causes of which are the following: psychophysiological features of drivers’ work; lack of communication skills among drivers; lack of an international ethical code of conduct for drivers. …”
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Explainable Anomaly Detection Based on Operational Sequences in Industrial Control Systems by Ka-Kyung Kim, Joon-Seok Kim, Ieck-Chae Euom

“…Various attempts have been made to address the black box issue but limited to identifying the features that caused the anomaly. In detecting target anomalies in industrial control system operational data, it is important not only to identify feature importance, but also to consider correlations between variables, and to provide intuitive explanations to enhance the understanding of operators. …”
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Tumor Budding as an Independent Prognostic Histopathological Marker in Oral Squamous Cell Carcinoma - An Indian Tertiary Care Center Experience by Anand Vijaya NARAYANAN, Krishnapriya UMASHANKAR, Sithara ARAVIND, Sangeetha. K. NAYANAR, Sandeep VIJAY

“…Tumor budding represents a histopathological feature characterized by the presence of isolated single/small clusters of cancer cells dispersed within the stroma at the invasive tumor front. …”
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Evaluation of machine learning algorithms in tunnel boring machine applications: a case study in Mashhad metro line 3 by Morteza Abbasi, Amir Hossein Namadchi, Mehdi Abbasi, Mohsen Abbasi

“…Beginning with a dataset of 438,960 rows, rigorous feature selection and data processing yielded a final dataset of 1833 rows. …”
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Enhancing Structural Health Monitoring of Super-Tall Buildings Using Support Vector Machines, MEMD, and Wavelet Transform by Rouzbeh Doroudi, Seyed Hossein Hosseini Lavasani, Mohsen Shahrouzi, Aref Afshar

“…SVMs efficiently identify damage patterns. However, require parameter tuning, addressed using Observer-Teacher-Learner-Based Optimization. …”
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Osteoarthritis Classification Using Hybrid Quantum Convolutional Neural Network by Devansh Tikariha, Abdul Moomin, D. Jeyamani, P. Rukmani

“…A custom quantum layer was incorporated to boost the model’s feature extraction capabilities, enabling effective differentiation between healthy and OA-affected knees in medical imaging data. …”
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Imaging and pathological characteristics of hepatosplenic EBV-positive inflammatory follicular dendritic cell sarcoma by Yang-Yang Chen, Peng-Ming Wang, Li-Zhu Deng, Pei-Heng Li, Chen-Guang Li, Yu-Hua He, Feng Chen, Jun-Yan Yue

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Structural Controls on Cu Metallogenesis in the Dehaj Area, Kerman Porphyry Copper Belt, Iran: A Remote Sensing Perspective by G. Mirzababaei, J. Shahabpour, A. Zarasvandi, S. M. Hayatolgheyb

“…This study deals also with the irrefutable genetic links between some small circular features and copper mineralization that has not been previously examined. …”
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Fractal characteristics of spontaneous combustion of gas-bearing coal under different temperature and adsorption pressure conditions by Zhenrong LI, Fuchao TIAN, Gang WANG, Bo TAN, Yujin QIN

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A hybrid ultra-short-term photovoltaic power prediction framework integrating ant colony optimization for clustering with Bi-GRU by Xinyi Liu, Zitao Wang, Yang Wang, Shanke Liu, Lijun Yu

“…This hybrid framework employs an improved Ant Colony Optimization algorithm fused with K-Means pre-clustering (K-MACO) to perform unsupervised learning on samples within the physical feature space of radiation patterns, humidity, and temperature dynamics, classifying weather scenarios into sunny, cloudy, and rainy types. …”
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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

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Autoantibody profiles in Alzheimer´s, Parkinson´s, and dementia with Lewy bodies: altered IgG affinity and IgG/IgM/IgA responses to alpha-synuclein, amyloid-beta, and tau in diseas... by Luisa Knecht, Katrine Dalsbøl, Anja Hviid Simonsen, Falk Pilchner, Jean Alexander Ross, Kristian Winge, Lisette Salvesen, Sara Bech, Anne-Mette Hejl, Annemette Løkkegaard, Steen G Hasselbalch, Richard Dodel, Susana Aznar, Gunhild Waldemar, Tomasz Brudek, Jonas Folke

“…Abstract Background Alzheimer’s disease (AD) and Parkinson’s disease (PD) are leading neurodegenerative disorders marked by protein aggregation, with AD featuring amyloid-beta (Aβ) and tau proteins, and PD alpha-synuclein (αSyn). …”
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Morphological and immunohistochemical analysis in encapsulated follicular variant papillary thyroid carcinoma, invasive follicular variant papillary thyroid carcinoma and a new ent... by Zeliha Çelik, Naile Kökbudak, Fahriye Kilinç, Pembe Oltulu

“…Non-invasive follicular thyroid neoplasm with papillary nuclear feature (NIFTP) is a new entity identified as a result of studies in recent years. …”
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Diagnosis of array antennas based on near-field data using Faster R-CNN by Boguang Yang, Yulun Wei, Jixiang Shi, Tao Hong, Liangyu Li, Kai-Da Xu

“…Four different excitation states are trained using the same neural network to compare the effects of excitation faults on feature extraction and classification accuracy. A prototype of the array antenna is fabricated and experimentally verified, with good detection results. …”
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A Mechanical Fault Diagnosis Method for On-Load Tap Changers Based on GOA-Optimized FMD and Transformer by Ruifeng Wei, Zhenjiang Chen, Qingbo Wang, Yongsheng Duan, Hui Wang, Feiming Jiang, Daoyuan Liu, Xiaolong Wang

“…From the resulting intrinsic mode functions (IMFs), statistical time domain features—peak factor, impulse factor, waveform factor, and clearance factor—are extracted to form feature vectors. …”
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Detection of Plants Leaf Diseases using Swarm Optimization Algorithms by Saud Abdul Razzaq, Baydaa Khaleel

“…Classification is widely and largely used in data analysis, and pattern recognition. The data analysis aims to discover similarities between them and group them based on similarity into multiple classes. …”
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