Artificial Intelligence for Wireless Communications: The InSecTT Perspective by Ramiro Samano Robles, Gowhar Javanmardi, Christoph Pilz, Przemyslaw Kwapisiewicz, Mateusz Rzymowski, Lukasz Kulas, Luca Davoli, Laura Belli, Gianluigi Ferrari, Bernd-Ludwig Wenning, Bugra Gonca, R. Venkatesha Prasad, Ashutosh Simha, Markku Kiviranta, Ilkka Moilanen, Sean Robinson, Gennaro Cirillo, Mujdat Soyturk, Yavuz Selim Bostanci, Leander B. Hormann

“…These stages include collection, harmonization, refinement, classification, architecture alignment, and functionality modeling of RQs. …”
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MMAgentRec, a personalized multi-modal recommendation agent with large language model by Xiaochen Xiao

“…This is a pain point in multimodal recommendation. Addressing these issues presents a significant opportunity for advancement. …”
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Enhance Social Network Bullying Detection Using Multi-Teacher Knowledge Distillation With XGBoost Classifier by Sathit Prasomphan

“…Cyberbullying remains a pressing issue in Thai social media, especially among teenagers. …”
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Real-Time Pedestrian Tracking and Counting with TLD by Jiawei Shi, Xianmei Wang, Huer Xiao

“…This paper describes a solution to solve the issue of automatic multipedestrian tracking and counting. …”
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Evaluating the Effect of Surrogate Data Generation on Healthcare Data Assessment by Saeid Sanei, Tracey K. M. Lee, Issam Boukhennoufa, Delaram Jarchi, Xiaojun Zhai, Klaus McDonald-Maier

“…In healthcare applications, often it is not possible to record sufficient data as required for deep learning or data-driven classification and feature detection systems due to the patient condition, various clinical or experimental limitations, or time constraints. …”
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RETRACTED ARTICLE: Multi-stage biomedical feature selection extraction algorithm for cancer detection by Ismail Keshta, Pallavi Sagar Deshpande, Mohammad Shabaz, Mukesh Soni, Mohit kumar Bhadla, Yasser Muhammed

“…This work proposes a Multi-stage algorithm for Biomedical Deep Feature Selection (MBDFS) to address this issue. In the first, three feature selection techniques are combined for thorough feature selection, and feature subsets are obtained; in the second, an unsupervised neural network is used to create the best representation of the feature subset to enhance final classification accuracy. …”
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Psychological fitness for work: do we still have a long way to go? by Giuseppe Ferrari

“…It is becoming increasingly urgent that both legal experts and scientific researchers address this issue together to define the psychological requirements necessary for the performance of given activities according to the nosological classification of psychiatric disorders from the DSM-5; this will protect the health and safety of both the workers and third parties.…”
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MCTGNet: A Multi-Scale Convolution and Hybrid Attention Network for Robust Motor Imagery EEG Decoding by Huangtao Zhan, Xinhui Li, Xun Song, Zhao Lv, Ping Li

“…To address this issue, we propose an end-to-end decoding framework, MCTGNet, whose core idea is to formulate the classification process as a high-order function approximation task that jointly models both task labels and feature structures. …”
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Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks by Mabrook S. Al-Rakhami, Salman A. AlQahtani, Abdulaziz Alawwad

“…The primary objective of this work is to overcome this issue through a federated learning approach. We created a privacy-preserving and accurate skin cancer classification system that can assist dermatologists and specialists in making informed patient care decisions. …”
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Deep Learning for Visual Leading of Ships: AI for Human Factor Accident Prevention by Manuel Vázquez Neira, Genaro Cao Feijóo, Blanca Sánchez Fernández, José A. Orosa

“…The primary source of classification error was linked to images with low bow deviation, largely influenced by human mislabeling during dataset preparation. …”
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A Machine Learning Approach for Differential Diagnosis of Vascular and Non-Vascular Intracranial Hemorrhage in Non-Contrast CT Images by Sahar Faraji, Bita Abbasi, Amin Amiri Tehranizadeh, Zeinab Naseri, Lida Jarahi, Fatemeh Khojasteh Rahimi, shahrokh Nasseri, Azadeh Hashemi

“…However, when it comes to classification sensitivity and accuracy, the Logistic Regression approach outperformed the others.…”
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Identifying Suicidal Ideation Through Automatic Extraction of Emotional Traces in Suicide Notes by Angel Hernandez-Castaneda, Rene Arnulfo Garcia-Hernandez, Yulia Ledeneva

“…Suicide is a critical mental health issue and one of the leading causes of death worldwide. …”
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La reconnaissance des peuples autochtones comme sujets du droit international. Enjeux contemporains de l’anthropologie politique en dialogue avec le droit by Irène Bellier

“…New areas of dialogue between anthropology and law emerge from this perspective, particularly on the meaning of law, on land issues that must be reconsidered in the light of the pressure of multinational companies (extractive or agro-industrial) on indigenous territories and on systemic classifications.…”
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A steel surface defect detection method based on improved RetinaNet by Zhanglin Yang, Yu Liu

“…Thirdly, an IA-BCELoss is introduced as the classification loss function, coupling classification and regression predictions to ensure high-quality detection boxes while maintaining classification accuracy. …”
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Research on Reservoir Hydrocarbon-Bearing Property Identification Method Based on Logging Data and Machine Learning by Chunyong Yu, Kaixuan Qu, Li Peng

“…The influence of different inputs and models on classification performance was compared. Lastly, the importance of each input feature was analyzed. …”
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Neurological polymorphism of systemic lupus erythematosus by A. A. Garmanova, A. M. Morozov, Yu. E. Minakova, M. A. Belyak

“…A study was made of materials from foreign and domestic literature of recent years on the issue of classification, pathogenetic and symptomatic problems of the neurological manifestation of systemic lupus erythematosus. …”
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Long-term water quality assessment and trophic status trends in Dobromierz, Lubachów and Sosnówka drinking water reservoirs in southwestern Poland by Magdalena Szewczyk, Paweł Tomczyk, Mirosław Wiatkowski

“…According to the new classification, the average water quality was in classes I or II. …”
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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

“…Background and Objective: In recent years, DNA methylation-tumor classification based on artificial intelligence algorithms has led to a notable improvement in diagnostic accuracy compared to traditional machine learning methods. …”
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Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network by Qingguo Wei, Chang Li, Yijun Wang, Xiaorong Gao

“…However, an efficient strategy for integrating the two methods has not yet been established. To address this issue, we propose a classification framework named eTRCA + sbCNN that combines an ensemble task-related component analysis (eTRCA) algorithm and a sub-band convolutional neural network (sbCNN) for recognizing the frequency of SSVEP signals. …”
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WHY SCIENTIFIC RESEARCH OF A LECTURER IS THE «LAME HORSE» OF MODERN SCIENCE? by Maria A. Belyaeva

“…In particular, researches turn to promoters of themselves to solve financial and organizational issues of a scientific research and promotion of ratings. …”
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