Network Congestion Tracking and Detection in Banking Industry Using Machine Learning Models by Kingsley Ifeanyi Chibueze, Nwamaka Georgenia Ezeji, Nnenna Harmony Nwobodo-Nzeribe

“… The escalating threat of congestion in wireless networks on a global scale prompts the need for effective detection and management techniques. This study investigates the tracking and detection of congestion in wireless networks, particularly within the banking industry, where digital transactions are rapidly increasing. …”
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Spatial analysis of land cover changes for detecting environmental degradation and promoting sustainability by Tobore Anthony, Ahmed Ali A. Shohan, Adedeji Oludare, Saleh Alsulamy, Abdulla - Al Kafy, Khaled Mohamed Khedher

“…This study analyzes LULC changes using remote sensing techniques to detect environmental degradation in Abeokuta South, Nigeria, contributing to the discourse on environmental sustainability. …”
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Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification by Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, Francesco Benedetto

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Ultra-high Frequency Sensor for Partial Discharges Detection in High Voltage Substation by Sharulnizam Mohd Mukhtar, MUZAMIR ISA, Azremi Abdullah Al-Hadi

“…The development of advanced diagnostic tools is critical for the effective monitoring and management of electrical insulation systems. This paper presents the development of an Ultra High Frequency (UHF) sensor designed for the detection of partial discharges (PD) within high-voltage substations. …”
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An optimized LSTM-based deep learning model for anomaly network intrusion detection by Nitu Dash, Sujata Chakravarty, Amiya Kumar Rath, Nimay Chandra Giri, Kareem M. AboRas, N. Gowtham

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Fraud Detection Based on Credit Review Texts with Dual Channel Memory Networks by Yansong Wang, Defu Lian, Enhong Chen

“…These texts contain information that is helpful for risk management, but have not been well explored. In order to effectively identify fraud risks, we propose a fraud detection method based on credit review texts with dual-channel memory network, which combines graph and text memory networks. …”
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Resonant Young’s Slit Interferometer for Sensitive Detection of Low-Molecular-Weight Biomarkers by Stefanus Renaldi Wijaya, Augusto Martins, Katie Morris, Steven D. Quinn, Thomas F. Krauss

“…The detection of low-molecular-weight biomarkers is essential for diagnosing and managing various diseases, including neurodegenerative conditions such as Alzheimer’s disease. …”
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Design and experimental validation of MMM-based pipeline stress concentration detection system by Deng Gong, Lunwu Zhao, Gang Han

“…The proposed MMM-based stress concentration detection system offers a low cost, operator-independent solution for proactive pipeline integrity management, significantly mitigating failure risks associated with undetected stress concentrations.…”
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Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections by Oona Rainio, Heidi Huhtanen, Jari-Pekka Vierula, Janne Nurminen, Jaakko Heikkinen, Mikko Nyman, Riku Klén, Jussi Hirvonen

“…Conclusion A deep learning model, based on weakly annotated data and computationally manageable training, achieved high accuracy for automatically detecting RPE on MRI in patients with acute neck infections. …”
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AI-Driven Improvements in Electrochemical Biosensors for Effective Pathogen Detection at Point-of-Care by Inderpreet Singh, Asmita Gupta, Chansi Gupta, Ashish Mani, Tinku Basu

“…The rapid and accurate detection of pathogens is vital for effective disease management and control. …”
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Fault detection for Li-ion batteries of electric vehicles with segmented regression method by Muaaz Bin Kaleem, Yun Zhou, Fu Jiang, Zhijun Liu, Heng Li

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Multidisciplinary teams involved: detection of drug-related problems through continuity of care by Elena Yaiza Romero-Ventosa, Marisol Samartín-Ucha, Alicia Martín-Vila, María Lucía Martínez-Sánchez, Isabel Rey Gómez-Serranillos, Guadalupe Pineiro-Corrales

“…The working groups formed by pharmacists of both care levels established the following inclusion criteria: patients with chronic diseases and polymedicated, patients for whom drug-related problems (DRP) had been detected, detection of any off-label use in Primary Care, or discrepancies in the standardization of medical prescriptions. …”
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Early and Sensitive Detection of Cisplatin-Induced Kidney Injury Using Novel Biomarkers by Michael Strader, Gary Friedman, Xavier Benain, Nunzio Camerlingo, Stefan Sultana, Shiran Shapira, Nadir Aber, Patrick T. Murray

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Signals of propaganda-Detecting and estimating political influences in information spread in social networks. by Alon Sela, Omer Neter, Václav Lohr, Petr Cihelka, Fan Wang, Moti Zwilling, John Phillip Sabou, Miloš Ulman

“…Their methods include the use of synchronized or individual bots, multiple accounts operated by one social media management tool, or different manipulations of search engines and social network algorithms, all aiming to promote their ideology. …”
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Fraud Detection in Privacy Preserving Health Insurance System Using Blockchain Technology by Md. Mazharul Islam, Mubasshir Ahmed, Rajesh Palit, Mohammad Shahriar Rahman, Salekul Islam

“…The proposed system has been implemented and tested on a blockchain platform, demonstrating its effectiveness in preserving privacy and detecting fraud. Performance evaluations reveal its scalability and efficiency in managing increased user loads, offering a robust solution to modern health insurance challenges while fostering trust and operational efficiency among participants.…”
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Outlier Detection of Photovoltaic Power Generation System Data Based on GMM-IF Algorithm by Xin Li, Guoxin Du, Yuman Li, Zengqiang Ma, Lihu Liu, Minglong Jiang, Feiyu Liu, Tianming Mu

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Benthos-DETR: a high-precision efficient network for benthic organisms detection by Weibo Rao, Gang Chen, Yifei Zhang, Jue Cang, Shusen Chen, Chenyang Wang

“…This study proposes Benthos-DETR, a benthic organisms detection network based on the RT-DETR network. In the backbone of Benthos-DETR network, the Efficient Block with the C2f module reinforces the shallow feature extraction operation in Benthos-DETR, enhancing the algorithm’s multi-scale perception. …”
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Automated Caries Detection Under Dental Restorations and Braces Using Deep Learning by Yi-Cheng Mao, Yuan-Jin Lin, Jen-Peng Hu, Zi-Yu Liu, Shih-Lun Chen, Chiung-An Chen, Tsung-Yi Chen, Kuo-Chen Li, Liang-Hung Wang, Wei-Chen Tu, Patricia Angela R. Abu

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Timing of video-assisted thoracoscopic surgery in the management of thoracic trauma by Yucel Akkas, Busra Özdemir Ciflik, Kadir Baturhan Ciflik, Merve Hatipoğlu Yetim, Anil Gokce, Suleyman Anil Akboga

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STUDY ON THE USE OF COMPUTER BASED INFORMATION SYSTEMS IN PRODUCTION MANAGEMENT by Mirela PLESA (CHIRIACESCU)

“…Internet of Things devices will be integrated, connected to computer based information systems to increase the efficiency of agricultural production, by remotely monitoring sensors that can detect soil moisture and crop growth, ensuring (for example) remote management of smart combine harvesters and equipment of irrigation. …”
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