ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering by Maryam Shahabikargar, Amin Beheshti, Wathiq Mansoor, Xuyun Zhang, Eu Jin Foo, Alireza Jolfaei, Ambreen Hanif, Nasrin Shabani

“…Recognizing the importance of domain knowledge and human expertise in feature engineering and building on our previous work, we propose the Customer Churn-related Knowledge Base (ChurnKB) to enhance feature engineering for churn prediction. …”
Get full text

Habitat-mediated variation in the importance of ecosystem engineers for secondary cavity nesters in a nest web. by Hugo Robles, Kathy Martin

“…We, therefore, urge the incorporation of the variation in the quantity and quality of resources provided by ecosystem engineers across habitats into models that assess community dynamics to improve our understanding of the importance of ecosystem engineers in shaping ecological communities.…”
Get full text

Shared team mental models when using Building Information Models in construction projects by Sander Siebelink, Hans Voordijk, Maaike Endedijk, Arjen Adriaanse

Get full text

(Un)conventional ways of dialogic information retrieval using prompt engineering and the role of AI literacy by Monika Krakowska, Magdalena Zych

“…Strategies aligned with LIS models like berrypicking but exposed training deficiencies. …”
Get full text

Tumor microenvironment-responsive engineered hybrid nanomedicine for photodynamic-immunotherapy via multi-pronged amplification of reactive oxygen species by Jinglin Zou, Cong Jiang, Qiangsheng Hu, Xinlin Jia, Shuqi Wang, Shiyue Wan, Yuanqing Mao, Dapeng Zhang, Peng Zhang, Bin Dai, Yongsheng Li

Get full text

Hierarchical optimization control strategy of hybrid electric vehicle platoon under communication failure by Jingyao Wang, Zhen Zeng, Weihao Lei, Haoxu Ye, Weiheng Su, Xunrui Li, Jinghua Guo, Jin Jiang, Keqiang Li

“…Summary: This research proposes a DRL-based hierarchical optimization control strategy for connected HEV platoons through a cloud platform, addressing strong nonlinearity and communication failure issues. The strategy uses a signal-interference-plus-noise ratio model to detect network failures by considering distance, signal path loss, and wireless interference. …”
Get full text

Digital Twins’ Application for Geotechnical Engineering: A Review of Current Status and Future Directions in China by Wenhui Tan, Siying Wu, Yan Li, Qifeng Guo

“…However, due to the difficulty of modeling, the demand for computing resources, interdisciplinary integration, and other issues, current digital twin applications in geotechnical engineering remain in their nascent stage. …”
Get full text

Prompt engineering in ChatGPT for literature review: practical guide exemplified with studies on white phosphors by Yookyoung Lee, Ju Hyun Oh, Dongik Lee, Mijeong Kang, Seunghun Lee

“…To address these issues, prompt engineering has become a significant task. …”
Get full text

Problematic Issues of Scientific and Methodical Support of the Forensic Cost Evaluation of Real Estate Objects and the Ways to Solve Them by D. V. Ivanov, O. G. Karnaukhova, P. A. Kozin, D. D. Kuznetsov

Get full text

Manipulating d-orbital of Cu single atom site by coordination engineering for selective oxidation of benzene by Shuchun Li, Changsheng Cao, Jiabin Chen, Wen Wen, Xuefei Zhang, Longji Cui, Yuke Li, Xing Huang, Yu Tang, Zailai Xie

Get full text

KEY CHALLENGES IN HUMAN RESOURCE EDUCATION WITHIN THE ENGINEERING DISCIPLINE DURING THE FOURTH INDUSTRIAL REVOLUTION by Fatemeh khakzad, Farid Ahmadi, Saeed JafarZadeh Ghooshchi

“…The proposed model’s effectiveness was compared to the FMEA method, demonstrating its superiority. …”
Get full text

Sigma Delta Modulation Controller and Associated Cybersecurity Issues with Battery Energy Storage Integrated with PV-Based Microgrid by Syeda Afra Saiara, Mohd. Hasan Ali

Get full text

Services and Resources to Engineers: A Case Study of Outreach and Marketing, Assessment, and Future Directions in a Research Library. by Matt Torrence

Get full text

Neospora caninum as delivery vehicle for anti-PD-L1 scFv-Fc: A novel approach for cancer immunotherapy by Clément Riviere, Muna Aljieli, Marie-Noëlle Mévélec, Louis Lantier, Fanny Boursin, Laurie Lajoie, Céline Ducournau, Stéphanie Germon, Nathalie Moiré, Isabelle Dimier-Poisson, Nicolas Aubrey, Anne di Tommaso

Get full text

A Data-Driven Approach to Aircraft Engine MRO Using Enhanced ANNs Based on FMECA by Idriss Dagal, Bilal Erol, Wulfran Fendzi Mbasso, Ambe Harrison, Alpaslan Demirci, Umit Cali

“…Validation with real aircraft engine data demonstrates the effectiveness of the ANN-FMECA model, achieving 94.3% accuracy in failure prediction and surpassing conventional methods. …”
Get full text

Investigating the truncated fractional telegraph equation in engineering: Solitary wave solutions, chaotic and sensitivity analysis by Usman Younas, Jan Muhammad, Muhammad Amin S. Murad, D.K. Almutairi, Aziz Khan, Thabet Abdeljawad

Get full text

Engineering injectable bone/bioadhesive grafts delivery system with self-healing properties for bone regeneration by Qingzu Liu, Bin Zhu, Huikai Yang, Chongyang Liu, Yurong Chen, Xiaoyu Wu, Wangling Duan, Luyao Feng, Binhui Wang, Liang Shao, Jianpeng Gao, Yazhong Bu, Hongjian Liu, Keya Mao, Jianheng Liu

Get full text

BERT-Residual Quantum Language Model Inspired by ODE Multi-Step Method by Shaohui Liang, Yingkui Wang, Shuxin Chen

Get full text

A Critical Analysis of a Hand Orthosis Reverse Engineering and 3D Printing Process by Gabriele Baronio, Sami Harran, Alberto Signoroni

“…However, rapid prototyping (RP) with 3D printers is only the final stage of patient personalized orthotics processes. A reverse engineering (RE) process is in fact essential before RP, to digitize the 3D anatomy of interest and to process the obtained surface with suitable modeling software, in order to produce the virtual solid model of the orthosis to be printed. …”
Get full text

Predicting drug-target interactions using machine learning with improved data balancing and feature engineering by Md. Alamin Talukder, Mohsin Kazi, Ammar Alazab

“…This study makes several contributions to address these issues, introducing a novel hybrid framework that combines advanced machine learning (ML) and deep learning (DL) techniques. …”
Get full text