Construction of Discrimination Models in Prediction of Bankruptcy if Polish Non-Public Enterprises by Bernard Kokczyński

“…Utilizing financial data from 2017–2021 for 416 companies across the trade, production, and service sectors, this research strives to devise the most effective model for classifying entities into two groups. …”
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Enhancing Time Series Anomaly Detection: A Knowledge Distillation Approach with Image Transformation by Haiwoong Park, Hyeryung Jang

“…In contrast, image anomaly detection has leveraged advancements in technologies for analyzing spatial patterns and visual features, achieving high accuracy and promoting research aimed at improving efficiency. We propose a novel framework that bridges image anomaly detection with time series data. …”
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Revolutionizing Automotive Technology: Unveiling the State of Vehicular Sensors and Biosensors by Raparthi Yaswanth, M. Rajasekhara Babu

“…It also addresses challenges related to accuracy, reliability, privacy, and environmental adaptability, proposing solutions such as advancements in sensor technology, improved data integration techniques, and robust privacy measures. …”
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Revolutionizing Education: Harnessing Machine Learning and Deep Learning for Digital Examination Transformation by Shilpi Gautam, Asadi Srinivasulu

“…To mitigate these risks, the proposed system aims to implement robust fairness-aware assessment algorithms while also incorporating advanced encryption and privacy-preserving techniques. …”
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Assessing cross cultural urban park emotional wellbeing impact in Shanghai and London by Zijuan Zhao, Qingying He, Yaqiong Zhang, Sidi liu, Ying Yang

“…We collected text data from Weibo and Twitter, applying natural language processing techniques to quantify emotion scores. …”
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Charting a course for freshwater biomonitoring: The grand challenges identified by the global scientific community by Adam G. Yates, Robert B. Brua, Joseph M. Culp, Francisca C. Aguiar, Anila P. Ajayan, Thomas Aspin, Mirco Bundschuh, Mirian R. Calderón, Zoltán Csabai, Helen Dallas, Thibault Datry, Karina Dias Silva, Jean Dzavi, Judy England, Tibor Erős, Daniel Gebler, Willem Goedkoop, Alexia Maria González-Ferreras, David P. Hamilton, Robert M. Hughes, Leandro Juen, Ben J. Kefford, Ricardo Koroiva, Edward M. Krynak, Isabelle Lavoie, Jennifer Lento, Raphael Ligeiro, Renato T. Martins, Frank O. Masese, Luciano Fogaça de Assis Montag, Jordan Musetta-Lambert, Kristin J. Painter, Sandra Poikane, Andreu Rico, Renata Ruaro, Sergi Sabater, Thaisa Sala Michelan, Jonas Schoelynck, Nathan J. Smucker, Igor Stanković, Rachel Stubbington, Heidi van Deventer, Lara van Niekerk, Paul J. Van den Brink, Gábor Várbíró, Elizabeth W. Wanderi

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An adaptive search mechanism with convolutional learning networks for online social media text summarization and classification model by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Hassan Alkhiri, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

“…This manuscript proposes an Adaptive Search Mechanism Based Hierarchical Learning Networks for Social Media Data Summarization and Classification Model (ASMHLN-SMDSCM) technique. …”
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Current Applications, Challenges, and Future Directions of Artificial Intelligence in Emergency Medicine: A Narrative Review by Mehrdad Farrokhi, Amir H Fallahian, Erfan Rahmani, Ali Aghajan, Morteza Alipour, Parisa Jafari Khouzani, Hossein Boustani Hezarani, Hamed Sabzehie, Mohammad Pirouzan, Zahra Pirouzan, Behnaz Dalvandi, Reza Dalvandi, Parisa Doroudgar, Habib Azimi, Fatemeh Moradi, Amitis Nozari, Maryam Sharifi, Hamed Ghorbani, Sara Moghimi, Fatemeh Azarkish, Soheil Bolandi, Hooman Esfahani, Sara Hosseinmirzaei, Arezou Niknam, Farzaneh Nikfarjam, Parham Talebi Boroujeni, Mahyar Noorbakhsh, Parham Rahmani, Fatemeh Rostamian Motlagh, Khadijeh Harati, Masoud Farrokhi, Sina Talebi, Lida Zare Lahijan

“…These applications can serve as effective tools in emergency departments when they are continuously supplied with high-quality real-time data and are adopted through collaboration between skilled data scientists and clinicians. …”
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ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet by Minyoung Park, Seungtaek Oh, Junyoung Park, Taikyeong Jeong, Sungwook Yu

“…However, existing 3D segmentation models, like the traditional 3D UNet, face challenges in balancing computational efficiency and accuracy when processing volumetric medical data. This study aims to develop an improved architecture for 3D medical image segmentation with enhanced learning strategies to improve accuracy and address challenges related to limited training data. …”
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Tropical Cyclones Across Global Basins: Dynamics, Tracking Algorithms, Forecasting, and Emerging Scientometric Research Trends by Vivek Singh, Gaurav Tiwari, Amarendra Singh, Rajeeb Samanta, Atul Kumar Srivastava, Deewan Singh Bisht, Ashish Routray, Sushil Kumar, Shivaji Singh Patel, Abhishek Lodh

“…Out of these 51 studies, it has been found that while most studies utilized satellite‐based methods, data assimilation (DA) techniques were emerging during 2006–2013, gaining momentum with machine learning (ML) applications post‐2019. …”
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Developing a multi-criteria assessment model for soil primary productivity in double cropping systems: Insights from the North China Plain by Yizan Li, Carmen Vazquez, Jiyu Jia, Jiangzhou Zhang, Ron de Goede, Marko Debeljak, Fusuo Zhang, Junling Zhang, Rachel Creamer

“…The development of the model followed the Decision Expert (DEX) methodology, using an integrated approach that combines knowledge graph and data mining techniques. We systematically structured the knowledge underpinning soil primary productivity. …”
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Validating an IoT implementation framework for supporting industry 4.0 in SMEs: a Delphi and focus group approach by Qusay Adnan Abdulaziz, Hazilah Mad Kaidi, Maslin Masrom, Khairur Rijal Jamaludin, Shamsul Sarip, Suha Ibraheem Hamad, Halim Shah Hamzah

“…Additionally, the quantitative data gathered through the Delphi technique adds another layer of validation. …”
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Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review by Haiyang Wang, Liyun Lao, Honglei Zhang, Zhong Tang, Pengfei Qian, Qi He

“…Therefore, developing accurate and timely Fault Detection and Diagnosis (FDD) techniques is crucial for ensuring food security. This paper provides a systematic and critical review and analysis of the latest advancements in research on data-driven FDD methods for structural faults in combine harvesters. …”
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Design and Verifi cation of Real-Time Simulation System for Protocol Design and Performance Evaluation of Large-Scale Satellite Network by Qixuan CAO, Yan SHI, Lianwei ZHOU, Xinwang DING

“…Aiming at the problems above, a real-time network simulation test system named SiT4NET was studied and developed.Firstly, SiT4NET used container technique to solved the problem of large-scale network node deployment with limited resources on the basis of ensuring nodes’ independence, thus improved the resource utilization of the simulation system.Secondly, the packet transmission between nodes based on data units and the mechanism for requesting/retrieving system-level data units were innovatively proposed to provided a strong foundation for real-time network simulation.And thirdly, through the standard high-level protocol interface, internal packet format and reconfi gurable mechanism of packet processing, SiT4NET reduced the complexity of conversion between the simulation implementation of the protocol and the target platform.Finally, by set up the same satellite network environment on SiT4NET and OPNET platforms, set up multiple groups of simulation scenarios, compared and analyzed the results, it showed that this method could met the performance requirements of large-scale satellite network.…”
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Design and Verifi cation of Real-Time Simulation System for Protocol Design and Performance Evaluation of Large-Scale Satellite Network by Qixuan CAO, Yan SHI, Lianwei ZHOU, Xinwang DING

“…Aiming at the problems above, a real-time network simulation test system named SiT4NET was studied and developed.Firstly, SiT4NET used container technique to solved the problem of large-scale network node deployment with limited resources on the basis of ensuring nodes’ independence, thus improved the resource utilization of the simulation system.Secondly, the packet transmission between nodes based on data units and the mechanism for requesting/retrieving system-level data units were innovatively proposed to provided a strong foundation for real-time network simulation.And thirdly, through the standard high-level protocol interface, internal packet format and reconfi gurable mechanism of packet processing, SiT4NET reduced the complexity of conversion between the simulation implementation of the protocol and the target platform.Finally, by set up the same satellite network environment on SiT4NET and OPNET platforms, set up multiple groups of simulation scenarios, compared and analyzed the results, it showed that this method could met the performance requirements of large-scale satellite network.…”
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Analyzing the impact of social media sentiments on government response during natural disasters in Pakistan by Fazal Tariq, Muhammad Tufail, Taj Rehman

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Building a Comprehensive Trust Evaluation Model to Secure Cloud Services From Reputation Attacks by Salah T. Alshammari, Muna Al-Razgan, Taha Alfakih, Khalid A. AlGhamdi

“…A significant concern in the field of cloud computing is the security and confidentiality of data. A cryptographic access control technique can be used to guarantee data privacy, which prevents unauthorized access and allows only authorized users to access the data. …”
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Latent space autoencoder generative adversarial model for retinal image synthesis and vessel segmentation by K. Radha, Yepuganti Karuna

“…A major challenge in retinal vessel segmentation is the lack of ground truth samples to train these models. To overcome this, we aim to generate synthetic data. This work draws inspiration from recent advancements in generative adversarial networks (GANs). …”
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運用心率變化評估焦慮：以幼兒說謊為例 Recognizing Young Children’s Anxiety While Lying: Utilizing Heart Rate Data From a Smart Bracelet by 邱淑惠 Shuhui Chiu, 莊胡祖德 Tsu-Te Chuang Hu

“…Similarly, pairing heart rate bracelets with behavioral training techniques for children with emotional disorders can help manage anxiety. …”
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Comparison of Diagnostic Accuracy of Digital Mammography, Digital Breast Tomosynthesis and Contrast Enhanced Mammography in the Preoperative Assessment of BI-RADS III and above Les... by Jini Joseph, KG Ramakrishnan, Rekha Narayanan

“…Although mammogram is the gold standard technique for the detection and diagnosis of breast cancer, extremely dense breasts-due to reduced contrast between tumours and surrounding tissue-pose significant limitations in the identification and diagnosis. …”
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