Advances in water splitting and lithium-ion batteries: pioneering sustainable energy storage and conversion technologies by Syeda Maria Hashmi, Shah Noor, Warda Parveen

“…Concurrently, Water splitting offers a pathway for hydrogen generation a clean fuel with high energy density, through electrolysis process. In this analysis, we will explore at the most recent breakthroughs, as well as the latest materials and catalysts, boosting the productivity and economic viability of water splitting. …”
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Quantum machine learning regression optimisation for full-scale sewage sludge anaerobic digestion by Yomna Mohamed, Ahmed Elghadban, Hei I Lei, Amelie Andrea Shih, Po-Heng Lee

“…This study positions Q-CML as a cutting-edge solution for optimising AD processes, boosting energy recovery, and driving the circular economy.…”
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CLASSIFICATION OF STUDENT GRADUATION STATUS USING XGBOOST ALGORITHM by Maria Welita Dwinanda, Neva Satyahadewi, Wirda Andani

“…XGBoost is an ensemble algorithm obtained through the development of gradient boosting. XGBoost has several features that can be used to prevent overfitting, but it can only process numerical data. …”
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The development of CC-TF-BiGRU model for enhancing accuracy in photovoltaic power forecasting by Guomin Xie, Zijian Zhang, Zhongbao Lin, Sen Xie

“…Besides, a potent fusion of gradient boosting decision trees (GBDT) and BiGRU is leveraged to adeptly process time series data. …”
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Leveraging AHP and transfer learning in machine learning for improved prediction of infectious disease outbreaks by Reham Abdallah, Sayed Abdelgaber, Hanan Ali Sayed

“…The researchers adopt the Analytic Hierarchy Process (AHP) for feature selection and integrated transfer learning to boost the accuracy of the study’s predictions. …”
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Classifying software security requirements into confidentiality, integrity, and availability using machine learning approaches by Taghreed Bagies

“…Recognizing the security dimensions in a requirements document should facilitate tracing the requirements and ensuring that a dimension has been implemented in a software system. This process should be automated to reduce time and effort for software engineers. …”
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Tool wear monitoring method based on AMIDBOAB and imbalanced data optimization by Guan-Hua Xu, Hong-Yu Wu, Bo Tang, Jun-Long Xu

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Prediction of permeability of amended soil using ensembled artificial intelligence models by Ankit Kumar, Rohit Ahuja

“…These models are enhanced with four distinct base learners: Gradient Boosting (GB), Stacking Regressor (SR), AdaBoost Regressor (ADR), and XGBoost (XGB). …”
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Digital elite and traditional politicians by V. A. Perepelkin, O. V. Kryshtanovskaya

“…The article examines the transformation of legitimation of political power amid digitalisation and competition between traditional political elite and digital elite representatives. This process is linked to the growing networked nature of contemporary society and increasing role of social media platforms in daily life. …”
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Sustainable regional development from the perspective of economic resilience: Based on the impact of COVID-19. by Aotian Peng

“…The process of regional economic development is marked by a sustained exposure to external disturbances. …”
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TEACHERS' PERSPECTIVES ON THE USE OF CHATGPT: A MIXED-METHOD STUDY by Sudharni Sudharni

“…The findings reveal that teachers' opinions on integrating ChatGPT into their teaching practices play a crucial role in shaping the learning process and boosting students' confidence. Many educators noted that ChatGPT's interactive nature helps clarify complex concepts and provides instant feedback, enhancing student understanding and participation. …”
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Reserves for stimulating household final consumption in the Northwestern District of Russia by E.G. Leonidova

“…The northwestern regions of Russia are proved to have a potential to hasten transformation processes aimed at improving the quality of economic growth by boosting household consumption. …”
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Pioneering machine learning techniques to estimate thermal conductivity of carbon-based phase change materials: A comprehensive modeling framework by Raouf Hassan, Alireza Baghban

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AI-Assisted Game Theory Approaches to Bid Pricing Under Uncertainty in Construction by Joas Serugga

“…The construction industry is inherently marked by high uncertainty levels driven by its complex processes. These relate to the bidding environment, resource availability, and complex project requirements. …”
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Precision Healthcare for UTIs: Leveraging Machine Learning to Reduce Readmissions by Odai Mohammad Al-Jbour, Mohammad Alshraideh, Bahaaldeen Alshraideh

“…Three predictive models were developed as follows: a gradient-boosting classifier (GBC), logistic regression (LR), and stochastic gradient descent (SGD). …”
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Enhancing Tomato Detection in Complex Field Environments using Faster R-CNN Deep Learning Model for Autonomous Picking Robots by Pandey Devras, Lalmawipuii R.

“…The automation of agricultural practices offers significant potential for boosting productivity while reducing labor requirements, particularly in fruit harvesting. …”
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Comparative analysis of supervised learning models for effluent quality prediction in wastewater treatment plants. by Liu Bo-Qi, Zhou Ding-Jie, Zhao Yang, Shi Long-Yu

“…This study evaluates the performance of five supervised learning models-AdaBoost, Backpropagation Neural Networks (BP-NN), Support Vector Machine (SVR), XGBoost, and Gradient Boosting (GB)-using data from a WWTP in Zhuhai, China. …”
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Photovoltaics: Reviewing the European Feed-in-Tariffs and Changing PV Efficiencies and Costs by H. L. Zhang, T. Van Gerven, J. Baeyens, J. Degrève

“…Feed-in-Tariff (FiT) mechanisms have been important in boosting renewable energy, by providing a long-term guaranteed subsidy of the kWh-price, thus mitigating investment risks and enhancing the contribution of sustainable electricity. …”
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Energy management of smart buildings during crises and digital twins as an optimisation tool for sustainable urban environment by Konstantinos Chatzikonstantinidis, Nicholas Afxentiou, Effrosyni Giama, Paris A. Fokaides, Agis M. Papadopoulos

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Understanding Mentor's Growth and Identity through Critical Self-Reflection Practice by Dewi Cahyaningrum, Nur Arifah Drajati, Ellisa Indriyani Putri Handayani, Agustina Tyarakanita

“…Understanding the mentors' pedagogy could help in understanding more about the process of their competence-building. Moreover, this process influences the process of their learning and impacts their identity. …”
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