Technology’s dual role in smart cities and social equality: A systematic literature by Ayanda Ntanda, Randall Carolissen

“…After applying inclusion criteria, 37 studies were selected for analysis. Results: While smart city initiatives enhance urban efficiency and economic growth, they risk deepening social inequalities. …”
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Optimizing a hybrid process of electrolysis ultrasound and persulfate for remediation of petroleum contaminated soils using AI models by Rozhan Feizi, Iman Parseh, Ali Zafarzadeh, Sahand Jorfi, Amir Sheikhmohammadi

“…The Artificial Intelligence (AI) models used to optimize six process parameters showed X2 (humidity) and X3 (voltage) and X5 (surfactant) enhanced removal efficiency the most but X1 (pH) presented a robust negative impact. …”
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Generative LOD algorithm based on space–time grid model by Huangchuang Zhang, Ge Li

“…In terms of city management, digital twin city establishes a real-time interactive digital city by digitizing all the elements of the physical world, which promotes collaborative and intelligent urban planning, management and operation, and greatly improves the efficiency and accuracy of urban decision-making. However, large-scale city information model (CIM) often has a complex geometric structure and huge data volume, which brings great challenges to data storage, computation and visualization. …”
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Implementation of YOLOv7 Model for Human Detection in Difficult Conditions by Arijal B, Andi Sunyoto, M. Hanafi

“…The three YOLOv7 models tested in this study are YOLOv7x.pt, YOLOv7-w6-person.pt, and YOLOv7-w6-pose.pt. These models were selected based on their excellence in detecting human objects and their relevance for complex scenarios. …”
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On Minimizing Influences Under Multi-Attribute Models by Bo-Yao Wang

“…A key theoretical contribution is the identification of a unique, 0-normalized, and efficient multi-attribute potential function corresponding to the minimal self-stable value. …”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Abstract Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. …”
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Image-Based Malicious Network Traffic Detection Framework: Data-Centric Approach by Doo-Seop Choi, Taeguen Kim, Boojoong Kang, Eul Gyu Im

“…Furthermore, high-dimensional data often suffers from the curse of dimensionality, where the sparsity of data in high-dimensional space leads to overfitting, poor generalization, and increased computational complexity. This paper focused on feature engineering instead of AI algorithm selections, presenting an approach that uniquely balances detection accuracy with computational efficiency through strategic dimensionality reduction. …”
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Investigating the Role of Artificial Intelligence Enablers and Companies' Readiness in Adopting an Artificial Intelligence-integrated Customer Relationship Management System by Soheila Mohammadzadeh Vanestan, Rahim Abedi

“…It was also confirmed that AI enablers with a path coefficient of 0.315 have a positive and significant effect on the adoption of these systems. …”
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Beyond N-Grams: Enhancing String Kernels With Transformer-Guided Semantic Insights by Nazar Zaki, Reem Alderei, Mahra Alketbi, Alia Alkaabi, Fatima Alneyadi, Nadeen Zaki

“…Particularly, the Transformer-Guided N-gram Selection and the Custom Kernel Function consistently outperform baseline models, achieving near-perfect detection accuracy with significantly reduced computational complexity. …”
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Assessing the evolutionary impact of amino acid mutations in the human genome. by Adam R Boyko, Scott H Williamson, Amit R Indap, Jeremiah D Degenhardt, Ryan D Hernandez, Kirk E Lohmueller, Mark D Adams, Steffen Schmidt, John J Sninsky, Shamil R Sunyaev, Thomas J White, Rasmus Nielsen, Andrew G Clark, Carlos D Bustamante

“…In both populations, the patterns of variation are consistent with a leptokurtic distribution of selection coefficients (e.g., gamma or log-normal) peaked near neutrality. …”
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Affinity‐Based Isolation and One‐Pot Analysis of Extracellular Vesicles from Biofluids Using Phase Separated Zwitterionic Coacervates by Francesca Torrini, Roberto Frigerio, Jonathan Garlipp, Philippe Lenzen, Karl Normak, Carolina Paganini, Marina Cretich, Alessandro Gori, Paolo Arosio

“…However, their heterogeneous nature poses challenges for efficient and selective isolation from complex biofluids. …”
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PAPR Reduction in DCO-OFDM Visible Light Communication Systems Using Optimized Odd and Even Sequences Combination by Wei-Wen Hu

“…Furthermore, a deterministic and efficient selection method of cyclic shift and phase rotation is derived to improve PAPR reduction performance and ensure that each candidate is unique, so that the receiver can recover the transmitted candidate signal without the use of SI. …”
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Global path planning algorithm for mining vehicles integrating simplified visibility graph and A* algorithm by ZHANG Chuanwei, LU Siyan, QIN Peilin, ZHOU Rui, ZHAO Ruiqi, YANG Jiajia, ZHANG Tianle, ZHAO Cong

“…Finally, a path smoothing algorithm was utilized to further reduce the number of path nodes, thereby enhancing path planning efficiency. Experimental results indicated that compared to the Complete Visibility Graph + A* algorithm, SVG + A* algorithm, and SVGCA* algorithm, the DVGA* algorithm had the shortest planning time for complex long-distance paths, with average path lengths reduced by 10.79%, 6.26%, and 2.86%, respectively, demonstrating stronger adaptability and higher planning success rates. …”
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Infrastructure of interconnected microgrids: A review by Moshammed Nishat Tasnim, Tofael Ahmed, Shameem Ahmad, GM Shafiullah

“…Then, numerous factors like cost, reliability, scalability, flexibility, complexity, and efficiency that play a significant role in evaluating the performance of IMG structures are identified to present a comparative analysis among various architectural topologies. …”
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Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policies by Saeid Kalantari, Hamed Kazemipoor, Farzad Movahedi Sobhani, Seyyed Mohammad Hadji Molana

“…Then, the tactical results and model strategy were presented for a case study in which the optimal flow between facilities, selection of suitable suppliers, selection of transportation type, and opening of facilities were presented. …”
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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…Additionally, the computational complexity of the proposed framework was evaluated in terms of floating-point operations per second (FLOPs) and the total number of parameters, ensuring its efficiency for real-time biomedical applications. …”
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Meta surface Assisted Open radio access networks by 7haneenabdulrahman7 ajeel, Ismail Hburi

“…Therefore, the objective of this study is to attain a trade-off between the costs (signalling overhead/complexity) and the throughput performance. In other words, the study sets the challenges of the RIS aided O-RAN technology regarding the joint selection of user’s equipment (UEs)/open radio unit (O-RU)-RIS pairs and the designing of beamforming at the O-RU/RIS and open distributed unit (O-DU). …”
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Photosynthetic performance index (PIabs) and malondialdehyde (MDA) content determine rice biomass under combined salt stress and prohexadione-calcium treatment by Guanqiang Zuo, Wanqi Mei, Naijie Feng, Dianfeng Zheng

“…The random forest model effectively addressed this complexity, identifying photosynthetic performance index (PIabs) and MDA content as the most robust predictors of biomass. …”
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Thermodynamic analysis of an isothermal redox cycle for vacuum carbothermal ceria reduction and carbon dioxide splitting for solar fuels production by Karinate Valentine Okiy

“…The transition to sustainable energy systems necessitates efficient solar-driven fuel production technologies. …”
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A comprehensive study of recent maximum power point tracking techniques for photovoltaic systems by Mohammed Hamouda Ali, Mohammad Zakaria, Sally El-Tawab

“…The results show AI techniques have a tracking efficiency of almost 99% when compared to other examined approaches, and they give quick and efficient tracking speed.…”
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