Enhanced IoT-Based Face Mask Detection Framework Using Optimized Deep Learning Models: A Hybrid Approach With Adaptive Algorithms by Parul Dubey, Pushkar Dubey, Celestine Iwendi, Cresantus N. Biamba, Deepak Dasaratha Rao

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Machine learning classifiers to detect data pattern change of continuous emission monitoring system: A typical chemical industrial park as an example by Zhefeng Xu, Xiahong Shi, Wei Shu, Yilu Xin, Xuan Zan, Zhaonian Si, Jinping Cheng

“…Despite their utility, CEMS data face challenges of data fabrications, complicating efforts to detect environmental violations, which may be detected according to emission pattern changes. …”
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The Presence of An Avulsion Fracture of the 1st Tarso-Metatarsal Joint in Lisfranc Injuries is a Useful Adjunct in Detecting 1st TMTJ Instability by Prashant Singh FRCS, Neil Jones FRCS, Francesc Malagelada FRCS, Amit Patel FRCS, Lucky Jeyaseelan FRCS

“…Data were collected regarding the initial mechanism of injury, fracture classification (Myerson and Qenu). Injuries which were managed non-operatively were excluded from the study. …”
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Econometric modeling for proactive risk management of financial failure in Moroccan SMEs: a stepwise logistic regression approach in python by Dina Ait Lahcen, Nour-Eddin Amghar

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Synergistic Impact of Active Case Detection and Early Hospitalization for Controlling the Spread of Yellow Fever Outbreak in Nigeria: An Epidemiological Modeling and Optimal Contro... by Nawaf L. Alsowait, Mohammed M. Al-Shomrani, Ismail Abdulrashid, Salihu S. Musa

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Transforming Manufacturing Quality Management with Cognitive Twins: A Data-Driven, Predictive Approach to Real-Time Optimization of Quality by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

“…Traditional quality management systems (QMS), through these reactive measures, are often inefficient because of their higher operational cost and delayed defect detection and mitigation. …”
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BiCA-LI: A Cross-Attention Multi-Task Deep Learning Model for Time Series Forecasting and Anomaly Detection in IDC Equipment by Zhongxing Sun, Yuhao Zhou, Zheng Gong, Cong Wen, Zhenyu Cai, Xi Zeng

“…To accurately monitor the operational state of Internet Data Centers (IDCs) and fulfill integrated management objectives, this paper introduces a bidirectional cross-attention LSTM–Informer with uncertainty-aware multi-task learning framework (BiCA-LI) for time series analysis. …”
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An Integrated Model for Circular Waste Management Using the Internet of Things, Semantic Web, and Gamification (Circonomy): Case Study in Indonesia by Vitri Tundjungsari, Bambang Purnomosidi Dwi Putranto, Muhamad Bahrul Ulum, Nizirwan Anwar

“…Like many developing countries, Indonesia has inadequate infrastructure to process the extremely high volume of waste produced throughout the country and minimal public participation in proper waste management. Although the Indonesian government regulates waste banks as a community-based waste management solution, there is a lack of integrated technological innovations to support waste banks. …”
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Abnormality detection and privacy protection strategies for power marketing inspection business of cyber–physical–social systems using big data and artificial intelligence by Li Kai, Mo Pingyan, Yang Yongjiao, Xie Hanyang, Shen Zhixiong

“…Traditional inspection methods often fail to identify potential risks and abnormal behaviors effectively; to address this, we propose an intelligent security identification model for CPSS-based power marketing inspection by integrating advanced artificial intelligence techniques to enhance security defense and risk management. The proposed model incorporates a work order correlation matching algorithm, a fault interval detection algorithm, an electricity consumption prediction algorithm, and a business anomaly identification algorithm. …”
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Development of an integrated care pathway for the prevention and management of biopsychosocial frailty in community-dwelling older adults in Italy: The PDTCP model by Giuseppe LIOTTA, Edoardo TREBBI, Francesco MONDERA, Ferdinando ROMANO, Maddalena ILLARIO, Michele BISOGNO, Edoardo CARNEVALE, Michele TREGLIA, Igina D’ANTONI, Clara DONNOLI, Fabio RICCARDI, Paola SCARCELLA

“…The pathway includes early detection, personalized care planning (PCP), coordination with general practitioners, and structured follow-up. …”
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Improved crop row detection by employing attention-based vision transformers and convolutional neural networks with integrated depth modeling for precise spatial accuracy by Hassan Afzaal, Derek Rude, Aitazaz A. Farooque, Gurjit S. Randhawa, Arnold W. Schumann, Nicholas Krouglicof

“…This research presents a novel framework that integrates deep learning, precision agriculture, and depth modeling to detect crop rows and spatial information accurately. …”
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Towards Secure FinTech: A Survey, Taxonomy, and Open Research Challenges by Sobia Mehrban, Muhammad Waqas Nadeem, Muzammil Hussain, Mohammad Masroor Ahmed, Owais Hakeem, Shazia Saqib, M. L. Mat Kiah, Fakhar Abbas, Mujtaba Hassan, Muhammad Adnan Khan

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Development of Model for Traffic Flows on Urban Street and Road Network by D. V. Kapskiy, D. V. Navoy, P. A. Pegin

“…The first-level model has been implemented on the basis of fuzzy logic, for which a program has been developed and conditions have been determined, and operation of traffic light at a real local intersection of Minsk, which is included in the automated traffic management system, has been simulated. …”
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Application of electrical nonlinear load harmonic analysis method integrating intelligent sensor data in intelligent agricultural power management by Jilei Qu, Meiying Niu, Qing Lin, Yanyan Li

“…In intelligent agricultural power management, the impact of harmonics on the power grid and its operating equipment cannot be ignored. …”
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Does syndromic surveillance assist public health practice in early detecting respiratory epidemics? Evidence from a wide Italian retrospective experience by Giovanni Corrao, Andrea Stella Bonaugurio, Giorgio Bagarella, Mauro Maistrello, Olivia Leoni, Danilo Cereda, Andrea Gori

“…AND/OR Boolean operators were tested aimed for joint using tracers and models. …”
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Detection of the Cyclic Imines Pinnatoxin G, 13-Desmethyl Spirolide C and 20-Methyl Spirolide G in Bivalve Molluscs from Great Britain by Ryan P. Alexander, Alison O’Neill, Karl J. Dean, Andrew D. Turner, Benjamin H. Maskrey

“…Whilst official control monitoring provides ongoing risk management for regulated toxins in live bivalve molluscs, no routine monitoring system is currently in operation in the UK for other non-regulated toxins. …”
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Homogeneous electrochemical detection of carcinoembryonic antigen based on target-controlled catalytical reaction of platinum/UiO-66 MOFs nanozyme integrated with aptamer by Jie Zhang, Yuanying Shi, Liming Liu, Bin Qiu, Yue Tian, Guodong Guo

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Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks by C. Christy, A. Nirmala, A. Mary Odilya Teena, A. Isabella Amali

“…MLIDS-RFA has improved detection accuracy (96.2%) and computing efficiency (94.8%) for dynamic VANET management. …”
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Challenges and Management Strategies for Mediterranean Cork Oak Forests: Impacts of Climate Change, Human Activities, and Invasive Species – A Review by Mesfin Boja, Kaouther Mechergui, Wahbi Jaouadi, Youssef Ammari

“…Long-term monitoring and proactive management strategies are crucial for early detection and control of invasive species and diseases, which will help mitigate their impacts and support forest health. …”
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FPES-IDS: Forecast-Path and Exponential Smoothing-Based Intrusion Detection System to Mitigate Blackhole Attack in RPL-Based 6LoWPANs by V. R. Rajasekar, S. Rajkumar

“…This paper presents the Forecast-Path and Exponential Smoothing-based Intrusion Detection System (FPES-IDS) to detect and mitigate BHA in RPL-based IPv6 over Low-Power Wireless Personal Area Networks (6LoWPANs). …”
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