Developing and integrating a destination decision support algorithm into an innovative electronic communication platform to improve injury care service coordination in Rwanda: the... by Antonio Belli, Justine Davies, Lucia D'Ambruoso, Jean Marie Uwitonze, Sudha Jayaraman, Abebe Bekele, Agnieszka Ignatowicz, Aurore Nishimwe, Jean Claude Byiringiro, Laura Quinn, Barnabas Tobi Alayande, Jean Nepomuscene Sindikubwabo, Didier Hagumimana, Fabien Hagenimana, Gilbert Rukundo, Ephrem Daniel Sheferaw, Oda Munyura, Rob Rickard, Philbert Muhire, Irene Bagahirwa, Jeanne d’Arc Nyinawankusi, Collins Inkotanyi, Assuman Nuhu

“…This study describes the protocol to develop, roll-out and evaluate the effectiveness of a destination decision support algorithm (DDSA) integrated in an electronic communication platform, ‘912Rwanda’. …”
Get full text

Modeling of Energy Management System for Fully Autonomous Vessels with Hybrid Renewable Energy Systems Using Nonlinear Model Predictive Control via Grey Wolf Optimization Algorithm by Harriet Laryea, Andrea Schiffauerova

“…The NMPC-GWO algorithm consistently outperformed both NMPC-GA and RB approaches, achieving high prediction accuracy and greater energy efficiency. …”
Get full text

Impact of integrating type-1 distributed generation on distribution network using modified genetic algorithm and voltage stability index: a technical and cost–benefit analysis appr... by Olakunle Elijah Olabode, Daniel Oluwaseun Akinyele, Titus Oluwasuji Ajewole, Samuel Okeolu Omogoye, Akeem Abimbola Raji

“…Based on this premise, the current work employed a Lévy flight genetic algorithm (LF-GA) for the placement of type-1 photovoltaic-based distributed generation (PV-DG) into a radial network. …”
Get full text

Assessing the performance of a point-of-need diagnostic algorithm in rapid detection of peripheral lymph node tuberculosis (Mobile-TB-Lab): a diagnostic evaluation study protocol by Dinesh Mondal, Lydia Nakiyingi, Elizabeth Ekirapa Kiracho, Kevin Cassar, Arianna Ceruti, Julius Boniface Okuni, Manfred Weidmann, Bishwajit Bhowmik, Prakash Ghosh, Shaheda Anwar, Martin Siegel, Nishad Tasnim Mithila, Sophie Elisabeth Müller, Farhana Rahman Luba, Rea Maja Kobialka, Bishnu Pada Dey, Syed Nazin Morshed, Cemre Arpa, Md Arko Ayon Chowdhury, Ahmed Abu Saleh, Ahmed Abd El Wahed, Sophie Schneitler

Get full text

An integrative scoring approach for prioritization of rare autism spectrum disorder candidate variants from whole exome sequencing data by Apurba Shil, Noa Arava, Noam Levi, Liron Levine, Hava Golan, Gal Meiri, Analya Michaelovski, Yair Tsadaka, Adi Aran, Idan Menashe

“…To this end, we developed AutScore, an integrative prioritization algorithm of ASD candidate variants from WES data and assessed its performance to detect clinically relevant variants. …”
Get full text

Risk prediction of QTc prolongation occurrence in cancer patients treated with commonly used oral tyrosine kinase inhibitors: machine learning modeling or conventional statistical... by Hsiang-Wen Lin, Tien-Chao Lin, Chien-Ning Hsu, Tzu-Pei Yeh, Yu-Chieh Chen, Liang-Chih Liu, Chen-Yuan Lin

“…The backward LR method and seven ML algorithms were applied to train and test the prediction models. …”
Get full text

Transparency in artificial intelligence by Stefan Larsson, Fredrik Heintz

“…Firstly, we discuss the conceptual distinction between transparency in AI and algorithmic transparency, and argue for the wider concept ‘in AI’, as a partly contested albeit useful notion in relation to transparency. …”
Get full text

Research on Modern Power Spectral Estimation on Radar Velocity Measurement by MEI Jialun, WANG Xiao, BAO Yansheng

“…Radar velocity measurement was widely used in the rail transit, while the algorithm was the key to the system. Relevant contents of the classical power spectral estimation and modern power spectral estimation were introduced, the latter was expounded emphatically. …”
Get full text

Optimal Design of Metro Train Logic Control Unit Based on Dual Modular Redundancy Technology by Yang ZHOU, Hongqiang LYU, Huang CHEN, Junxian ZHANG, Lijie SHI

“…Combined with specific working conditions and failure modes, the redundancy mode of key modules was optimized, and the relevant redundant hardware and redundant control algorithms were redesigned. …”
Get full text

Exploring the usability of the text-based CAPTCHA on tablet computers by Darko Brodić, Alessia Amelio

Get full text

Reliability evaluation of hierarchical hypercube network by Ximeng LIU, Yufang ZHANG, Shuming ZHOU, Xiaoyan LI

“…Aiming at the problem that the reliability research on hierarchical hypercube networks was not yet systematic, which severely restricted its application and popularization, the hierarchical hypercube network was taken as studying object, on the basis of obtaining the relevant topological properties of the hierarchical hypercube network, the h-extra conditional diagnosability and t/s-diagnosability of the n-dimension hierarchical hypercube (HHC_n) network under the PMC model and MM* model were obtained by theoretical deduction.In addition, the t/s-diagnosis algorithm of HHC_n under the PMC model and MM* model was designed and its time complexity was analyzed.The research results show that the h-extra conditional diagnosability of HHC_n is about h+1 times of its traditional diagnosability, and the t/s-diagnosability of HHC_n is about s+1 times of its traditional diagnosability.Those results improve the reliability index of the hierarchical hypercube network and provide an important theoretical basis for its application and popularization.…”
Get full text

An Innovative Hybrid Approach Producing Trial Solutions for Global Optimization by Vasileios Charilogis, Glykeria Kyrou, Ioannis G. Tsoulos, Anna Maria Gianni

“…The development of efficient algorithms has emerged from the need for optimization, with each algorithm offering specific advantages and disadvantages. …”
Get full text

Hybrid blowfish cryptography with elliptic curve Diffie-Hellman key exchange protocol for enhancing data security and performance by K. Vignesh Saravanan, G. Sakthi Priya

“…The performance depends on factors such as Recall, Ranking Privacy, Precision, Searching Speed. The proposed algorithm efficiently retrieves the required data maintaining the privacy and identifies the relevant data at high accuracy and optimal speed. …”
Get full text

Research on somatic interactive exhibition design of lacquer artwork based on multi-source data analysis by Ke Ni

“…First, it explores the theoretical foundation of multi-source data and related algorithms, with a focus on ACS and ACO algorithms within neural networks, providing strong theoretical support for the model design. …”
Get full text

Exploring a multi-path U-net with probability distribution attention and cascade dilated convolution for precise retinal vessel segmentation in fundus images by Ruihong Zhang, Guosong Jiang

“…A CDCM is integrated to gather multi-scale vessel features, enhancing the model’s ability to extract deep semantic features. Second, a boosting algorithm that incorporates probability distribution attention (PDA) within the upscaling blocks is employed. …”
Get full text

Dietary Recommendation Based on Multi-objective Optimization Integrating Nutritional Knowledge and Preference-Health Balance by JIN Ying, MIN Weiqing, ZHOU Pengfei, MEI Shuhuan, JIANG Shuqiang

“…The method captured user preference through food nutrition knowledge embedding, and employed a multi-objective optimization algorithm to balance the dietary preference of users with their nutritional health needs. …”
Get full text

Scalable bearing fault diagnosis using metaheuristic feature selection and machine learning for diverse operating conditions by B. R. Nayana, R. Subha, Rekha Radhakrishnan, P. Geethanjali

“…The objective of this study is to develop a scalable model for real-time bearing fault diagnosis using recent evolutionary algorithms such as, Marine Predator Algorithm, Equilibrium Optimization, Henry Gas Solubility Optimization, and Poor and Rich Optimization for optimal Feature Selection. …”
Get full text

Research and Modeling of Commercial Location Selection Based on Geographic Big Data and Mobile Signaling Data—A Case Study of the Central Urban Area of Beijing by Jin Zou, Xun Zhang, Yangxiao Cong, Zhentong Gao, Jinlian Shi

“…This study utilizes mobile phone signaling data from Beijing combined with point-of-interest (POI) data from within the Sixth Ring Road of Beijing to identify user behaviors using algorithms. Through a combination of BiLSTM-RF and reinforcement learning algorithms, a population location prediction algorithm is constructed to address the issues of inaccurate and outdated population flow data in commercial site selection. …”
Get full text

Study on the Optimized Production Scheduling of Polymetallic Mines Considering the Vehicle Routing Problem by Jianfu Luo, Taosuo Wu, Hongmei Bai, Hui Jie

“…Therefore, establishing an optimization model for this problem and designing algorithms to solve it have great significance in the theory of optimization algorithms and in production practices for polymetallic mining enterprises. …”
Get full text

DETECTING URBAN SLUMS IN DKI JAKARTA: A KOTAKU DATA APPROACH WITH ENSEMBLE METHODS by Muhammad Muawwad MS, Rani Nooraeni, Ananda Galuh Intan Prasetya

“…The KOTAKU program provides relevant and detailed data on slum settlements in Indonesia. …”
Get full text