Preliminary investigations of sustainable magnetic catalyst-based biochar derived spent coffee ground for biodiesel production from waste cooking oil by Jayaraja Silvaraja, Noor Yahida Yahya, Muzakkir Mohammad Zainol, Yong Siang Lee

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A Novel Vibration Suppression Method for Welding Robots Based on Welding Pool Instability Evaluation and Trajectory Optimization by Mingtian Ma, Hong Lu, Yongquan Zhang, Zidong Wu, He Huang, Xujie Yuan, Xu Feng, Zhi Liu, Zhangjie Li

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Influence of Ceramic Waste and Cement on the Mechanical and Hydraulic Properties, and Microstructure of the Road Sub-Base Layer by Sadek Deboucha, Hocine Ziani, Abderrachid Amriou, Walid Maherzi, Walid Deboucha

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Regional Boundary Control of Traffic Network Based on MFD and FR-PID by Xin Yang, Juncheng Chen, Mantun Yan, Zhao He, Ziyan Qin, Jiandong Zhao

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DeLoCo: Decoupled location context-guided framework for wildlife species classification using camera trap images by Lifeng Wang, Shun Wang, Chenxun Deng, Haowei Zhu, Ye Tian, Junguo Zhang

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Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

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BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization by Mingmin Liang, Xianzhi Liu, Juncai Li, Qijia Chen, Bin Zeng, Zhong Wang, Jing Li, Lei Wang

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Multi-Physical Field Coupling Analysis of Electro-Controlled Permanent Magnet Blank Holder Processes Considering Thermal Magnetic Losses by Zhanshan Wang, Linyuan Meng, Gaochao Yu, Xiaoyu Ji

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Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations by Osamah Thamer Hassan Alzubaidi, Mhd Nour Hindia, Kaharudin Dimyati, Kamarul Ariffin Noordin, Faizan Qamar, Atef Abdrabou

“…Intelligent reflection surface (IRS) is an advanced technology that effectively transforms the wireless propagation environment to next-generation wireless networks. …”
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Recommender Systems for Unified Modeling Language and Vice Versa—A Systematic Literature Review by Elaheh Azadi Marand, Amir Sheikhahmadi, Moharram Challenger, Parham Moradi, Alireza Khalilipour

“…Recommender systems (RSs) are fundamental tools that address data redundancy and serve as intelligent supplements for tasks such as data retrieval and refinement by analyzing user behavior. …”
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Glu4: An open-source package for real-time forecasting and alerting post-bariatric hypoglycemia based on continuous glucose monitoring by Luca Cossu, Francesco Prendin, Giacomo Cappon, David Herzig, Lia Bally, Andrea Facchinetti

“…A run-to-run algorithm forecasts future glucose levels using past CGM data, identifying potential hypoglycemic events 30 min in advance. An intelligent alarm system alerts users when glucose levels are predicted to drop below a critical threshold, prompting preventive action. …”
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Improving the Competitiveness of the Leading Universities of the North Caucasus Federal District in Sync with the Objectives of Regional Development by D. V. Petrosyants, V. V. Zubenko, P. S. Seleznev, I. V. Arzhanova

“…The authors note the lack of intelligible parameters used in the formation of the target admission levels in the universities of the North Caucasus Federal District, the weak connection of these figures with the real economy. …”
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WED-YOLO: A Detection Model for Safflower Under Complex Unstructured Environment by Zhenguo Zhang, Yunze Wang, Peng Xu, Ruimeng Shi, Zhenyu Xing, Junye Li

“…The enhanced model exhibits superior precision and lower miss detection rates in safflower recognition tasks, providing a robust algorithmic foundation for the intelligent harvesting of safflowers.…”
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Construction and effect of interactive teaching methods in the college badminton classroom using fuzzy-assisted virtual reality modeling: a case study in Chinese universities by Yinghao Li, Mohd Jawis

“…In addition to fostering Badminton Students' professional skills, universities should emphasize the importance of Badminton Students' physical well-being in comparison to the conventional approaches used by the control group to teach badminton; the neural network-based intelligent teaching system performs better. Fuzzy-assisted  VR badminton classes provide several potential benefits for Badminton Students' learning abilities, including repeated practice and understanding of essentials, adjusting posture and mastering the knack, teamwork and mutual support, and promoting motivation and learning. …”
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From Heritage Building Information Modelling Towards an ‘Echo-Based’ Heritage Digital Twin by Hord Arsalan, David Heesom, Nigel Moore

“…Many of these studies have focused on the use of BIM software tools to generate intelligent 3D models using information gathered from a range of data capture techniques including laser scanning and photogrammetry. …”
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Effects of cardiovascular health, musculoskeletal health and physical fitness on occupational performance of firefighters: protocol for a systematic review and meta-analysis by Andre Pascal Kengne, Denise Smith, Jaron Ras, Elpidoforos Soterakis Soteriades, Lloyd Leach

“…A researcher-generated form with the key characteristics of each study will be used to retrieve all relevant details from the selected studies for initial eligibility screening. The Rayyan Intelligent Systematic Review tool will be used to screen and select studies for inclusion, and information from the included studies will be captured on the researcher-generated data extraction form. …”
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Transformer-Based Person Detection in Paired RGB-T Aerial Images With VTSaR Dataset by Xiangqing Zhang, Yan Feng, Nan Wang, Guohua Lu, Shaohui Mei

“…Aerial-based person detection poses a significant challenge, yet it is crucial for real-world applications like air-ground linkage search and all-weather intelligent corescuing. However, existing person detection models designed for aerial images heavily rely on numerous labeled instances and exhibit limited tolerance towards complex lighting conditions commonly encountered in search and rescue (SaR) scenarios. …”
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Designing a model of mutual expectations in the relationship between the person and the organization in governmental organizations and service providers in Isfahan based on the phe... by Abbas Nosouhi, Akbar Etebarian, Mehraban Hadi Peykani

“…In the organization questionnaire, the respondents claim that the client's supply to the organization is much less than the organization's demand from the client.Originality/Value: The results of this research can be effective in the theoretical development of the relationship between governmental organizations and service providers and clients, and policy makers and managers can create intelligent structures to reduce the expectations of clients and employees of governmental organizations and provide more favorable conditions for service and receiving services.…”
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A two-tier optimization strategy for feature selection in robust adversarial attack mitigation on internet of things network security by Kashi Sai Prasad, P Udayakumar, E. Laxmi Lydia, Mohammed Altaf Ahmed, Mohamad Khairi Ishak, Faten Khalid Karim, Samih M. Mostafa

“…Numerous research works were keen to project intelligent network intrusion detection systems (NIDS) to avert the exploitation of IoT data through smart applications. …”
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Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations by Konrad Biszko, Jacek Oskarbski, Karol Żarski

“…Most data are sourced from the city's Intelligent Transport System (ITS) services, including traffic flow volume, vehicle speed, and public transport travel times. …”
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