Cyberattack Detection Systems in Industrial Internet of Things (IIoT) Networks in Big Data Environments by Abdullah Orman

“…Traditional intrusion detection systems (IDSs) often struggle to effectively identify and mitigate complex cyberthreats, such as denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks. …”
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Comparative Study of Time Series Analysis Algorithms Suitable for Short-Term Forecasting in Implementing Demand Response Based on AMI by Myung-Joo Park, Hyo-Sik Yang

“…This research offers practical guidelines for selecting the optimal forecasting model based on data characteristics and application needs, contributing to the development of more efficient and dynamic energy management strategies. …”
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A Literature Review on Security in the Internet of Things: Identifying and Analysing Critical Categories by Hannelore Sebestyen, Daniela Elena Popescu, Rodica Doina Zmaranda

“…Given the diversity of such systems, selecting the most appropriate solutions and technologies to address the challenges is a complex activity. …”
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Unraveling the Impact of Copper Ions on Mineral Surfaces During Chalcopyrite–Molybdenite Flotation Separation Using Sodium Thioglycolate by Feng Jiang, Shuai He, Jiaxing Qi, Yuanjia Luo, Honghu Tang

“…The efficient separation of chalcopyrite from molybdenite is crucial for the utilization of copper–molybdenum ores and is inevitably influenced by the presence of metal ions in the pulp. …”
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Cost-effective PV panel cleaning system controlled by raspberry PI using image processing by Uçkan Gökhan, Oğuzay Engin

“…However, these are often complex and costly. Since PV investment costs are high, it is of great importance to design and operate PV panels at the highest efficiency. …”
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A Real Time Cardiomyopathy Detection Tool Using Ml Ensemble Models by Salvador de Haro, Esteban Becerra, Pilar González-Férez, José M. García, Gregorio Bernabé

“…Additionally, the platform-independent design ensures compatibility with Windows and Linux, eliminating complex setup requirements. The LVNC detector delivers an efficient and user-friendly solution for LVNC diagnosis. …”
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CONSTRUCTION STAKEHOLDERS’ PERSPECTIVE ON EXTERNAL RELATED RISK FACTORS INFLUENCING CONSTRUCTION PROJECT PERFORMANCE by ABDARAHIM SALEM, Eric SIMPEH, Julius Fapohunda

“… Abstract The construction industry is extremely complex, with dynamic project environments creating an atmosphere of high uncertainty and risk. …”
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Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review by Abel García Abejas, David Geraldes Santos, Fabio Leite Costa, Aida Cordero Botejara, Helder Mota-Filipe, Àngels Salvador Vergés

“…However, its use raises complex ethical issues, including privacy, equity, dehumanization, and decision-making dilemmas. …”
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Coverage path planning considering the cell number and starting position by MA Mingyan, HUANG Sirong, DENG Renhui, WU Lei, HE Li

“…To address the inadequate adaptability of the traditional boustrophedon cellular decomposition in complex maps and to improve coverage efficiency, a complete coverage path planning method is proposed. …”
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ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile by WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang

“…The application of this method enables enhanced operational efficiency and economic viability of CO2 injection, improved oil and gas recovery, and more precise and efficient resource development.…”
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Perception-Based H.264/AVC Video Coding for Resource-Constrained and Low-Bit-Rate Applications by Lih-Jen Kau, Chin-Kun Tseng, Ming-Xian Lee

“…Moreover, the approach introduces only a marginal increase in computational complexity, highlighting its efficiency. Overall, the proposed algorithm offers an effective balance between visual quality and computational performance, making it well suited for video transmission in bandwidth-constrained, resource-limited IoT and edge computing environments.…”
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Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting by G. H. Harish Nayak, Md. Wasi Alam, B. Samuel Naik, B. S. Varshini, G. Avinash, Rajeev Ranjan Kumar, Mrinmoy Ray, K. N. Singh

“…Abstract Predicting agricultural commodity prices is inherently complex due to factors such as perishability, seasonality, and market volatility. …”
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Automated System for Evaluating Alternatives for Developing Innovative IT Projects by Iryna Pikh, Vsevolod Senkivskyy, Liubomyr Sikora, Nataliia Lysa, Alona Kudriashova

“…The key result of the research is the created software product that allows one to automate the procedure for selecting the optimal solution for the IT project development process, providing reliable support for simulation modeling and increasing the efficiency of project management. …”
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Artificial intelligence in geoenergy: bridging petroleum engineering and future-oriented applications by Sungil Kim, Tea-Woo Kim, Suryeom Jo

“…Future research should focus on developing automated, user-independent AI systems to enhance model selection and broaden AI applications across diverse datasets, driving greater efficiency and innovation in the geoenergy sector. …”
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Preparing Dutch Homes for Energy Transition by Prateek Wahi

“…However, with their high heating demands, many existing homes require significant renovations before efficiently transitioning to LTH-based systems. The selection of appropriate renovation strategies is complex, often leading to uncertainty and delays. …”
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A critical review of optimizing pollutant removal from refinery wastewater using ozone and nanocatalyst-assisted bubble column reactors by Safiaa M. Mohammed, Khalid A. Sukkar, Ali Abdul Rahman Al-Ezzi, Amjed R. Qarahgouli

“…The treatment of petroleum refinery wastewater remains a critical challenge due to the complex mixture of toxic and persistent contaminants such as hydrocarbons, phenolic compounds, nitrogenous substances, and heavy metals. …”
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Advancing Pediatric Growth Assessment with Machine Learning: Overcoming Challenges in Early Diagnosis and Monitoring by Mauro Rodriguez-Marin, Luis Gustavo Orozco-Alatorre

“…Logistic regression is a reliable and easily interpretable model for detecting growth abnormalities in children. Unlike complex machine learning models, it offers parsimony in transparency, efficiency, and reproducibility, making it ideal for clinical settings where explainable, data-driven decisions are essential. …”
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Morpho-physiological characterization for identification of heat tolerant wheat genotypes by S. Sarkar, N. C. D. Barma, J. U. Ahmed, Showkat A. Waza, A. K. M. Aminul Islam

“…Principal component analysis efficiently summarized the complex interplay of these traits categorizing the major traits that explained the most significant variation within the collected data. …”
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Novel Wire Gripper for Robotics Picking of Small Green Parts From Powder Bed of Binder Jet Metal Additive Manufacturing by Abdulhamid Mathkur, Yanen Huang, Kenji Shimada

“…We can achieve improved quality and efficiency for binder jetting through proper factor resolution which will result in successful manufacturing of complex high-value components. …”
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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

“…Machine learning (ML) techniques cannot detect every new and complex malware variant. The deep learning (DL) model is an efficient tool for detecting various malware variants. …”
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