Application research of sample data generation based on improved Cycle-GAN in intrusion detection by ZENG Qingpeng, GUO Hangkai

“…The issue of slow data updates, insufficient data samples for certain intrusion categories, and imbalanced distributions between normal and abnormal data sets in standard intrusion detection data sets have been addressed through both data sample augmentation and detection model optimization. …”
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Electronic Nose Humidity Compensation System Based on Rapid Detection by Minhao Cai, Sai Xu, Xingxing Zhou, Huazhong Lu

“…In this study, we present an electronic nose (e-nose) humidity compensation system based on rapid detection to solve the issue of humidity drift’s potential negative impact on the performance of electronic noses. …”
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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

“…An ensemble classification method for modelling cardiac temporal data is presented in this research. …”
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Long-Term Vital Sign Tracking Study of Depression Patients Based on Wearable Devices by Yuebo Jin, Yadong Huang

“…Depression is a critical mental health issue that increasingly affects millions worldwide. …”
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Evaluation of deep learning models for flood forecasting in Bangladesh by Asif Rahman Rumee

“… Flooding is a recurrent and devastating issue in Bangladesh, largely due to its geographical and climatic conditions. …”
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War of Conquest and Defensive War in the Hungarian Thirteenth Century Legislation and the European Ius Commune by Péter Bónis

“…However, since these provisions are closely linked to the concept of just war, we look at what was considered a just war in the Middle Ages and what the implications of this classification were for the obligations of the vassals. …”
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Analyse de la production de voyelles anglaises par des apprenants francophones, l’acquisition du contraste /ɪ/–/iː/ à la lumière des k-NN by Adrien Méli, Nicolas Ballier

“…This article addresses the issue of assessing the realizations of /ɪ/ and /iː/ by French learners of English in spontaneous conversations by considering it as a classification problem, which the resort to the k-nearest neighbours algorithm (k-NN) can solve. …”
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The Use of Electronic Money in International Settlements and the Governmental Supervision by A. A. Soluyanov

“…Settlements, transfers and issue of electronic money are the common knowledge of doing business nowadays. …”
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Dissolution Enhancement of Meloxicam Tablets from the Synergistic Effect of Hydrotropic and Sublimating Agent by Hemn L. Qader, Tara A. Abdula, Huner K. Omer

“…Drugs which fall into Class II of Biopharmaceutical Classification System suffer from poor aqueous solubility that limits the dissolution and oral bioavailability. …”
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Processes in multiple economic entities by Sobotkiewicz Dariusz

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War of Conquest and Defensive War in the Hungarian Thirteenth Century Legislation and the European Ius Commune by Péter Bónis

“…However, since these provisions are closely linked to the concept of just war, we look at what was considered a just war in the Middle Ages and what the implications of this classification were for the obligations of the vassals. …”
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Papillary tumor of the pineal region: A case with unique immunohistochemical keratin expression pattern by Rakesh Kumar Gupta, Vineeta Vijay Batra, Arvind Kumar Srivastava, Mehar Chand Sharma

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Atrial fibrillation after heart transplantation by M. Kh. Lepshokova, E. D. Kosmachova, V. A. Porkhanov

“…This review discusses epidemiology, classification, mechanisms of development, and therapy of atrial fibrillation after heart transplantation.…”
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Overview of searchable encryption research by Ying LI, Chunguang MA

“…With the development of cloud computing,there is an increasing number of companies and individuals outsourcing their data to cloud server in the encrypted form to protect data security and user privacy.As a result,efficient retrieval of encrypted data stored on cloud server has become the issue that users may pay attention to.Searchable encryption (SE) is a cryptographic primitive that supports keyword search over encrypted data,and migrates the cumbersome search operation to the cloud server to utilize its vast computational resources.Reviews previous research according to the different cryptosystems used,and divides SE into two groups,that is symmetric searchable encryption and asymmetric searchable encryption.Based on this classification,first introduces a typical program,and then introduces from the two aspects of the expression of searchable encryption and security.Finally,the need-to-be-solved problems and main research directions are discussed.…”
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Research on university email analysis based on SVM-RFE and Transformer-TBAM by LI Zhen, LI Zhichao, CHEN Lin

“…The experiment shows that the algorithm achieves an accuracy of 94.67% in the classification of university email datasets, which is 1.2% higher than traditional algorithms.…”
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Spinal dysraphism controversies: AIIMS experiences and contribution by A K Mahapatra

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BIONIC PROSTHESES - FEATURES, KINDS AND POSSIBILITIES by Nikola Sabev, Ivan Ralev

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IT service: concepts and types for accounting purposes by I.V., L.V., I.L.

“…There is no unity among scientists on this issue. The purpose of the article is to reveal the concept, main characteristics and types of IT services that have an impact on their accounting. …”
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Forming the professional culture of a future specialist in the field of adaptive physical education and sport by Galymzhan Kopzhanov, Aidyn Doshybekov, Aliya Belegova, Alexander Orlov, Abylay Duisembek

“…Different methodological means were used for this study, among which, functional and dialectical approaches and the method of analysis and synthesis, comparison, classification, and generalisation. The results of the work done are theoretical and practical conclusions that relate to the issue under study and reveal its essence. …”
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Emotion Recognition Model of EEG Signals Based on Double Attention Mechanism by Yahong Ma, Zhentao Huang, Yuyao Yang, Shanwen Zhang, Qi Dong, Rongrong Wang, Liangliang Hu

“…Methods: Addressing the issue of inaccurate feature extraction and low accuracy of existing deep learning models in emotion recognition, this paper proposes a multi-channel automatic classification model for emotion EEG signals named DACB, which is based on dual attention mechanisms, convolutional neural networks, and bidirectional long short-term memory networks. …”
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