Exploring Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard by Kazeem A. Dauda, Ebenezer J. Adeniyi, Rasheed K. Lamidi, Olalekan T. Wahab

“…High-dimensional data have attracted considerable interest from researchers, especially in the area of variable selection. However, when dealing with time-to-event data in survival analysis, where censoring is a key consideration, progress in addressing this complex problem has remained somewhat limited. …”
Get full text

Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

“…Accurate prediction of electrical energy consumption in smart buildings is a critical challenge for optimizing energy management systems, reducing costs, and improving overall efficiency. Existing models often fail to account for the complex and nonlinear characteristics of energy consumption patterns, resulting in suboptimal prediction performance. …”
Get full text

An Improved DHA Star and ADA-DWA Fusion Algorithm for Robot Path Planning by Yizhe Jia, Yong Cai, Jun Zhou, Hui Hu, Xuesheng Ouyang, Jinlong Mo, Hao Dai

“…This method successfully resolves the inherent trade-off between efficiency and reliability in complex robot navigation scenarios, providing enhanced operational robustness for practical applications ranging from industrial logistics to field robots.…”
Get full text

Research Progress of Abrasive Groups Ordered Grinding Wheels by Ye Guo, Bing Chen, Zihao Liu, Shiwei Sun, Guoyue Liu, Bing Guo

“…This could pave the way for the development of machining processes that are more environmentally friendly, energy-efficient, and precise.…”
Get full text

Mitosis detection in histopathological images using customized deep learning and hybrid optimization algorithms. by Afnan M Alhassan, Nouf I Altmami

“…Identifying mitosis is crucial for cancer diagnosis, but accurate detection remains difficult because of class imbalance and complex morphological variations in histopathological images. …”
Get full text

Modified Index Policies for Multi-Armed Bandits with Network-like Markovian Dependencies by Abdalaziz Sawwan, Jie Wu

“…A key challenge arises from the fact that the underlying states governing each arm’s rewards remain hidden at the time of selection. To address this, we adapt traditional index-based policies and develop a modified index approach tailored to accommodate Markovian transitions and enhance selection efficiency for our model. …”
Get full text

STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data by Yinghao Fu, Yinghao Fu, Yinghao Fu, Leqi Tian, Weiwei Zhang

“…STsisal leverages a novel approach that integrates marker gene selection, mixing ratio decomposition, and cell type characteristic matrix analysis to discern distinct cell types with precision and efficiency within complex tissues. …”
Get full text

A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization by Yingjia Sun, Hongfeng Ren

“…Different from forward selection or linear optimization, which could have low efficiency for complicated problems with large sample size and multiple objectives, new methods and algorithms for NP-hard problems would be necessary to be investigated. …”
Get full text

Quantum key distribution through quantum machine learning: a research review by Krupa Purohit, Ajay Kumar Vyas

“…QML algorithms improve the key generation of QKD, by improving quantum state selection and reducing measurements. This also allows them to increase efficiency because it identifies trends in errors and applies corrections, making quantum cryptography a more dependable option. …”
Get full text

Evaluating ESG Software Solutions for Sustainability Reporting in the Manufacturing Sector by Hąbek Patrycja

“…The study concludes with targeted software selection recommendations and outlines future research directions.…”
Get full text

Influence of the system of government to the principle of participation in contemporary federations by Stanković Marko

“…One of the biggest challenges that every framer of the constitution faces with is selection of appropriate forms of state - form of rule, political system, state structure and system of government. …”
Get full text

Fast link-establishment method of integrated of communication and detection based on short-wave digital channelization by Guojun LI, Cuiling XIANG, Changrong YE, Zunli WANG

“…A link-establishment method based on short-wave digital channelized receiver was proposed for the traditional automatic link establishment technology in short-wave communications with the low accuracy of frequency selection, low efficiency of link establishment, and low utilization of resources, etc.The parallel receiving mechanism for full frequency band in short-wave communications was realized by using digital channelization.An integrated waveform of communication and detection was designed to deal with the time redundancy and equipment compatibility problems caused by waveform switching during link establishment.A fast link-establishment method was designed, to achieve a fast and robust connection in complex electromagnetic environments.The results show that the channelized structure can enhance the receiving performance of the link-establishment system, the link-establishment method has obvious advantages, channel parameter estimation method has a high estimation accuracy compared to the traditional link-establishment method and the applicability of the proposed method in practical short-wave channel environment is verified.…”
Get full text

Movement Disorders and Neuromodulation by Edward A. Shipton

“…Appropriate patient selection is critical for success. The implantation technique is briefly described. …”
Get full text

Fast link-establishment method of integrated of communication and detection based on short-wave digital channelization by Guojun LI, Cuiling XIANG, Changrong YE, Zunli WANG

“…A link-establishment method based on short-wave digital channelized receiver was proposed for the traditional automatic link establishment technology in short-wave communications with the low accuracy of frequency selection, low efficiency of link establishment, and low utilization of resources, etc.The parallel receiving mechanism for full frequency band in short-wave communications was realized by using digital channelization.An integrated waveform of communication and detection was designed to deal with the time redundancy and equipment compatibility problems caused by waveform switching during link establishment.A fast link-establishment method was designed, to achieve a fast and robust connection in complex electromagnetic environments.The results show that the channelized structure can enhance the receiving performance of the link-establishment system, the link-establishment method has obvious advantages, channel parameter estimation method has a high estimation accuracy compared to the traditional link-establishment method and the applicability of the proposed method in practical short-wave channel environment is verified.…”
Get full text

Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm by Liyang Ju, Xiaoyuan Wu, Yixi Zhao, Jianfeng Liu, Kun Liu

“…Compared with traditional genetic algorithms, this improves computational efficiency and solves complex problems in a better manner. …”
Get full text

Hierarchical Service Composition via Blockchain-enabled Federated Learning by Li Huang, Lu Zhao, Yansong Liu, Yao Zhao

“…HSC introduces a novel framework, collaborative service selection methods, and a smart selection algorithm, demonstrating remarkable composition efficiency in extensive simulations compared to the baseline approach.…”
Get full text

A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…In particle swarm optimization for complex optimization challenges, parameter selection significantly influences performance across various population states. …”
Get full text

Rethinking Technological Investment and Cost-Benefit: A Software Requirements Dependency Extraction Case Study by Gouri Ginde, Guenther Ruhe, Chad Saunders

“…Drawing upon two publicly available data sets, we compare decision-making based on 1) exclusively on accuracy and 2) on ROI analysis to provide decision support for the selection and usage of ML classification methods. As such, our results showed that, 1) chasing model accuracy improvisation through increased annotated data does not generate expected returns in traditional ML methods. 2) For complex ML algorithms, the need for larger annotated dataset investment cost is justified by the higher returns, however, the trade-offs between accuracy and ROI become evident.…”
Get full text

The Role of TGF-β Signaling Pathway in Determining Small Ruminant Litter Size by Ying Han, Guiling Cao, Wenting Chen, Changfa Wang, Muhammad Zahoor Khan

“…This improved the understanding of the genetic basis for prolificacy provides valuable insights for marker-assisted selection strategies aimed at enhancing reproductive efficiency in small ruminant breeding programs, with significant implications for improving livestock productivity and economic outcomes.…”
Get full text

TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

“…The findings highlight the potential of integrating modern techniques to address complex, high-dimensional problems. By combining advanced prediction models and feature selection strategies, this study advances the reliability of climate forecasts and contributes to the development of effective adaptation and mitigation measures in response to climate change challenges.…”
Get full text