Perancangan dan Implementasi Sistem Informasi Deteksi Kesesuaian Pemanfaatan Ruang Berbasis Web dengan Fitur Geo-Intersection Pada POSTGIS by Issa Arwani, Widhy Hayuhardhika Nugraha Putra, Ghazian Hamdi, Tsania Dzulkarnain

“…The test value shows that the built application has no usability problems and is acceptable to the user.  …”
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A Two-Stage YOLOv5s–U-Net Framework for Defect Localization and Segmentation in Overhead Transmission Lines by Aohua Li, Dacheng Li, Anjing Wang

“…Meanwhile, a hybrid loss function that combines Dice Loss and Focal Loss is designed to solve the small-target and class imbalance problems. This method integrates target detection and fine segmentation, enhancing detection precision and improving the extraction of detailed damage features. …”
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Detección y diagnóstico de fallas en motores mediante el análisis de vibraciones aplicando técnicas de inteligencia artificial. by Jair Elías Araujo Vargas, Dilan Yesid Franklin Coronel, Victor Manuel Arias Ruiz

“…Thus, artificial intelligence algorithms demonstrated high accuracy in fault detection and resolution, identifying various types of problems in a timely manner; the models contributed significantly to the overall analysis, offering a more reliable approach to predictive industrial maintenance, paving the way for future improvements and the adoption of new, more robust and adaptable algorithms.…”
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CSL-SFNet for Cooperative Spectrum Sensing in Cognitive Satellite Network with GEO and LEO Satellites by Kai Yang, Shengbo Hu, Xin Zhang, Tingting Yan, Manqin Zhu

“…Cooperative spectrum sensing (CSS) has become the key technology for solving the above problems in recent years. However, most of the current CSS techniques are model-driven. …”
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PREFERENTIAL CREDITING AS URGENT INSTRUMENT OF THE STATE FINANCIAL SUPPORT OF AGRARIAN AND INDUSTRIAL COMPLEX by Z. B. Aliyeva

“…A complex author’s research of system of subsidizing and crediting of the agrarian and industrial complex enterprises of Russia, detection of advantages of new forms of crediting of the agrarian sector and also the existing concepts and approaches to a solution of the problem of financial support of agrarian and industrial complex. …”
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Digital-analog quantum convolutional neural networks for image classification by Anton Simen, Carlos Flores-Garrigos, Narendra N. Hegade, Iraitz Montalban, Yolanda Vives-Gilabert, Eric Michon, Qi Zhang, Enrique Solano, José D. Martín-Guerrero

“…We propose digital-analog quantum kernels for enhancing the detection of complex features in the classification of images. …”
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Deep Learning in Visual Computing and Signal Processing by Danfeng Xie, Lei Zhang, Li Bai

“…Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features from input data. Nowadays, researchers have intensively investigated deep learning algorithms for solving challenging problems in many areas such as image classification, speech recognition, signal processing, and natural language processing. …”
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DIFFERENCES BETWEEN PEDIATRIC PULMONARY AND EXTRA-PULMONARY TUBERCULOSIS: A WARNING SIGN FOR THE FUTURE by Ilker Devrim, Hüseyin Aktürk, Nuri Bayram, Hurşit Apa, Şener Tulumoğlu, Fatma Devrim, Ttulin Erdem, Gamze Gulfidan, Yüce Ayhan, Demet Can, Hüdaver Alper

“…Introduction: Tuberculosis (TB) remains a major global health problem affecting millions of people annually. Tuberculosis in children has unique features different from adults which makes the diagnosis to be more difficult. …”
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SSTMNet: Spectral-Spatio-Temporal and Multiscale Deep Network for EEG-Based Motor Imagery Classification by Albandari Alotaibi, Muhammad Hussain, Hatim Aboalsamh

“…Finally, these features are deeply analyzed by a sequential block to extract high-level features, which are used to detect an MI task. …”
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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…The improved model not only boosts performance in terms of feature extraction and fusion but is also adept in solving the pressing problems of parameter size and computational efficiency. …”
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Work addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnout by Xinhui Liang, Yue Yin, Lating Zhang, Fang Liu, Yao Jia, Xiaoxia Liu, Mengyi Hu, Lijuan Gao, Xue Jiang

“…Abstract Background The nursing profession is known for its high intensity and high pressure, and burnout is prevalent among nurses.In recent years, work addiction has attracted attention as an emerging occupational psychological problem.However, there is a relative lack of research on nurses’ work addiction, especially in the case of its underlying features and its relationship with burnout.Identifying the underlying characteristics of nurses’ work addiction is of great significance for formulating targeted interventions to prevent and alleviate nurses’ burnout and improve the quality of nursing services. …”
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Cyber security Enhancements with reinforcement learning: A zero-day vulnerabilityu identification perspective. by Muhammad Rehan Naeem, Rashid Amin, Muhammad Farhan, Faisal S Alsubaei, Eesa Alsolami, Muhammad D Zakaria

“…Given that nobody knows and is aware of these weaknesses, it becomes challenging to detect and prevent them. For the real-time zero-day vulnerabilities detection, we bring out a novel reinforcement learning (RL) methodology with the help of Deep Q-Networks (DQN). …”
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Clinical, nutritional, anthropometric indicators and frequency of occurrence of Ala16Val (rs4880) polymorphic locus of the <i>MnSOD</i> gene in vibration disease comorbid with arte... by A. M. Gorbunova, O. N. Gerasimenko, I. S. Shpagin, M. S. Medvedkina, V. N. Maksimov, Yu. A. Nikolaev

“…The continuing interest in the problem of vibration disease (VD), especially when combined with arterial hypertension (AH), is due to the steady development of industrial sectors associated with vibration acceleration and the tendency towards the early development of AH. …”
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A depth-wise separable VGG19-capsule network for enhanced bell pepper and grape leaf disease classification with ensemble activation by Midhun P Mathew, Sudheep Elayidom, Jagathy Raj V P, Abubeker K M

“…Crop disease is a significant problem in the agricultural sector, leading to decreased food production and causing substantial economic losses for farmers in farming regions. …”
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NECROTIZING GINGIVITIS: CASE REPORTS I (REVIEW OF THE LITERATURE) by V.I. Shynkevych

“…They concluded that there was insufficient data to resolve this problem, thus they decided to place both conditions in one category of “necrotizing periodontal disease”. …”
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Quantifying the Visuo-Perceptual Segregation Between Ortabayır and Levent District in Istanbul through Semantic Segmentation by Jood Kassab, Can Uzun

“…Urban segregation has always been a critical problem affecting citizens’ socio-cultural equality. …”
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Generative Target Tracking Method with Improved Generative Adversarial Network by Yongping Yang, Hongshun Chen

“…In this paper, we proposed a target tracking algorithm based on the conditional adversarial generative twin networks, using the improved you only look once multitarget association algorithm to classify and detect the position of the target to be detected in the current frame, constructing a feature extraction model using generative adversarial networks (GANs) to learn the main features and subtle features of the target, and then using GANs to generate the motion trajectories of multiple targets, finally fuzing the motion and appearance information of the target to obtain the optimal match. …”
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Deep learning–assisted real-time container corner casting recognition by Jaecheul Lee

“…Existing techniques use various traditional laser-based and vision-based methods for corner casting detection. Challenging weather conditions, varying lighting conditions, light reflections from ground, and container rusting conditions are the main problems that affect the performance of automated cranes. …”
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System Eliminating Emergency Discharges in Industrial Facilities Waste Waters Using Relative Signal Description by V. A. Alekseev, S. I. Yuran, V. P. Usoltsev, D. N. Shulmin

“…Thus, detecting these coagulates in real-time is a relevant problem.To solve this problem, the authors suggest building an automated system that shall record and identify the emergency harmful substances discharges to the industrial companies waste waters caused by accidents. …”
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Myocarditis in Hypertrophic Cardiomyopathy: Incidence and Contribution to Disease Progression and Outcome by Yulia Lutokhina, Nasiba Seifatova, Polina Chernova, Natalia Kireeva, Roman Komarov, Marina Vukolova, Sergey Pirozhkov, Ekaterina Yantikova, Nargiza Babakulova, Boris Tlisov, Andrey Dzyundzya, Beatrice Volel

“…Hypertrophic cardiomyopathy (HCM) is the most common cardiomyopathy; however, few studies have examined the combination of myocarditis and HCM, thereby highlighting the importance of this problem. This article aimed to analyze the influence of myocarditis on clinical features and outcomes in patients with HCM. …”
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