Integrating Personalized Thermal Comfort Devices for Energy-Efficient and Occupant-Centric Buildings by Cihan Turhan, Cristina Carpino

“…With the growing emphasis on sustainability and reducing energy consumption in buildings, energy efficiency has become a critical factor in the design and selection of PTC systems. …”
Get full text

Efficient Software Development Effort Estimation Approaches for Improving Scalability in the Training Phase by Ho Le Thi Kim Nhung, Petr Silhavy, Radek Silhavy

“…While clustering can address this complexity, standard methods often rely on random initial centers, leading to inconsistent and less precise results. …”
Get full text

Advanced lightweight deep learning vision framework for efficient pavement damage identification by Shuai Dong, Yunlong Wang, Jin Cao, Jia Ma, Yang Chen, Xin Kang

“…These mechanisms ensure dynamic anchor feature selection and extend the scope of deformation ability, respectively. …”
Get full text

Driving Strategy Using an Improved Ant Colony System for Energy-Efficient Train by Chengda Yang, Kun Miao, Jieyuan Wang

“…Optimal energy-efficient train operation optimization is one of the widely studied areas in transportation science, which can significantly reduce energy consumption that accounts for a large proportion of operating costs. …”
Get full text

Predicting Missing Links Based on Power-Law Distribution and Information Transmission Efficiency by Yi Wang, Jun Ma

“…We introduce a power-law distribution model to capture the contributions of neighbors and select relevant network features to construct indicators that reflect information transmission efficiency. …”
Get full text

Energy-efficient synchronization for body sensor network in the metaverse: an optimized connectivity approach by Altaf Hussain, Tariq Hussain, Razaz Waheeb Attar, Ahmed Alhomoud, Mrim M. Alnfiai, Reem Alsagri

“…Furthermore, it leverages multi-path communication strategies to optimize energy efficiency and extend the operational life span of the network. …”
Get full text

Wearable devices for monitoring sweat glucose: an integrated strategy for efficient electrochemical sensors by Ruiyu Luo, Yi Yang, Shayuanzi Huang, Zhi Huang

Get full text

FalconSign: An Efficient and High-Throughput Hardware Architecture for Falcon Signature Generation by Yi Ouyang, Yihong Zhu, Wenping Zhu, Bohan Yang, Zirui Zhang, Hanning Wang, Qichao Tao, Min Zhu, Shaojun Wei, Leibo Liu

“…Despite its strengths, there has been a lack of research on hardware acceleration, primarily due to its complex calculation flow and floating-point operations, which hinders its widespread adoption. …”
Get full text

Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique by Karim Gasmi, Najib Ben Aoun, Najib Ben Aoun, Khalaf Alsalem, Ibtihel Ben Ltaifa, Ibrahim Alrashdi, Lassaad Ben Ammar, Manel Mrabet, Abdulaziz Shehab

“…Traditional methods often fall short in achieving the required precision due to the complex and heterogeneous nature of brain tumors. …”
Get full text

Using Multiple Criteria Optimization and Two-Stage Genetic Algorithms to Select a Population Management Strategy with Optimized Reliability by Jessica L. Chapman, Lu Lu, Christine M. Anderson-Cook

Get full text

Tracking a Subset of Skeleton Joints: An Effective Approach towards Complex Human Activity Recognition by Muhammad Latif Anjum, Stefano Rosa, Basilio Bona

“…We present a robust algorithm for complex human activity recognition for natural human-robot interaction. …”
Get full text

Mitigating Multicollinearity in Induction Motors Fault Diagnosis Through Hierarchical Clustering-Based Feature Selection by Bassam A. Hemade, Sabbah Ataya, Attia A. El-Fergany, Nader M. A. Ibrahim

“…These findings highlight the ability of AHC to handle complex fault scenarios, which offer a more efficient and generalized fault diagnosis model compared to ensemble methods-based feature selection.…”
Get full text

Advances in enhancing hydrodeoxygenation selectivity of lignin-derived oxygenates: From synthetic strategies to fundamental techniques by Xinru Wu, Hongwei Zhang, Cejun Hu, Xiaojun Bao, Pei Yuan

“…Addressing these challenges will pave the way for the development of efficient and selective HDO catalysts, thus advancing the field of renewable LDOs conversion.…”
Get full text

A secured and fault-tolerant algorithm for electing an efficient coordinator in distributed networks by Shital S. Supase, Jayshree R. Pansare

“…The findings show that RSCEA effectively selects a coordinator with linear message complexity proportional to the number of nodal features, denoted as O(n.m) where n is number of nodes and m indicates the number of attributes. …”
Get full text

Efficiency of anthelmintic treatment and its effect on microparasite dynamics in wild Mastomys natalensis by Marre van de Ven, Bram Vanden Broecke, Alexis Ribas, Herwig Leirs, Christopher Sabuni, Joachim Mariën

Get full text

Link stability - based optimal routing path for efficient data communication in MANET by Renisha Pulinchuvallil Salim, Rajesh Ramachandran

“…The paper delves into the complexities of Mobile Ad hoc Networks (MANETs), which consist of a diverse array of wireless nodes. …”
Get full text

Preparation and Characterization of Efficient and Safe Rotenone Solid Nanodispersion by Self-Emulsifying Technique by Yunfei Zhang, Xuesheng Lin, Yunlong Qian, Mingda Qin, Shujing Zhang, Lanying Wang, Yanping Luo

“…However, it is still unknown whether this technology can be employed to cope with the drawbacks of botanical insecticides including poor water solubility, rapid photodegradation and limited targeting efficiency. In this study, rotenone (Rot) was selected as a model of botanical insecticides, and its solid nanodispersion (Rot–SND) was prepared by a self-emulsifying method combined with parameter optimization. …”
Get full text

A Bio-Inspired Learning Dendritic Motion Detection Framework with Direction-Selective Horizontal Cells by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Hiroki Sugiura, Zheng Tang

Get full text

A comprehensive review on deep learning applications in advancing biodiesel feedstock selection and production processes by Olugbenga Akande, Jude A. Okolie, Richard Kimera, Chukwuma C. Ogbaga

“…Our comprehensive analysis demonstrates that ANNs provide significant insights into the feedstock assessment process, emerging as a potent tool for identifying new correlations within complex datasets. By leveraging this capability, ANNs can significantly advance biodiesel research, producing more sustainable and efficient feedstock production. …”
Get full text

Human tetherin exerts strong selection pressure on the HIV-1 group N Vpu protein. by Daniel Sauter, Daniel Unterweger, Michael Vogl, Shariq M Usmani, Anke Heigele, Silvia F Kluge, Elisabeth Hermkes, Markus Moll, Edward Barker, Martine Peeters, Gerald H Learn, Frederic Bibollet-Ruche, Joëlle V Fritz, Oliver T Fackler, Beatrice H Hahn, Frank Kirchhoff

“…These results indicate that HIV-1 group N Vpu is under strong host-specific selection pressure and that the acquisition of effective tetherin antagonism may lead to the emergence of viral variants with increased transmission fitness.…”
Get full text