Incentivizing Demand-Side Response Through Discount Scheduling Using Hybrid Quantum Optimization by David Bucher, Jonas Nuslein, Corey O'Meara, Ivan Angelov, Benedikt Wimmer, Kumar Ghosh, Giorgio Cortiana, Claudia Linnhoff-Popien

“…Furthermore, we propose a large-scale decomposition algorithm/heuristic for the DSP, applied with either quantum or classical computers running the subroutines, which significantly reduces the problem size while maintaining solution quality. …”
Get full text

Global seasonal urban, industrial, and background NO₂ estimated from TROPOMI satellite observations by V. Fioletov, C. A. McLinden, D. Griffin, X. Zhao, H. Eskes

“…<p>The tropospheric NO<span class="inline-formula">₂</span> vertical column density (VCD) values measured by the Tropospheric Monitoring Instrument (TROPOMI) were used to study the NO<span class="inline-formula">₂</span> variability and estimate urban NO<span class="inline-formula">_<i>x</i></span> emissions for 261 major cities worldwide. The used algorithm isolated three components in tropospheric NO<span class="inline-formula">₂</span> data – background NO<span class="inline-formula">₂</span>, NO<span class="inline-formula">₂</span> from urban sources, and NO<span class="inline-formula">₂</span> from industrial point sources – and then each of these components was analyzed separately. …”
Get full text

Machine learning and AVO class II workflow for hydrocarbon prospectivity in the Messinian offshore Nile Delta Egypt by Nadia Abd-Elfattah, Aia Dahroug, Manal El Kammar, Ramy Fahmy

“…The workflow integrates seismic spectral decomposition and machine learning algorithms to identify subtle anomalies, including low seismic amplitude gas sand and background amplitude water sand. …”
Get full text

Direct imaging with multidimensional labelling and high‐content analysis allows quantitative categorization and characterizations of individual small extracellular vesicles and nan... by Simou Sun, Sarah J. Cox‐Vázquez, Nam‐Joon Cho, Guillermo C. Bazan, Jay T. Groves

“…We then develop an enhanced algorithm for colocalization analysis of the multiple labels on individual sEVPs and perform deep profiling of particle content. …”
Get full text

Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach by Xi Zhang, Lan Yang, Jiayu Lu, Yuting Yuan, Dandan Li, Hui Zhang, Rong Yao, Jie Xiang, Bin Wang

“…Additionally, we investigated the relationship between altered brain dynamics and structural disruption through the ridge regression (RR) algorithm. The results demonstrated that BD spent less time in a hyperconnected state with higher network efficiency and lower segregation. …”
Get full text

A foundation systematic review of natural language processing applied to gastroenterology & hepatology by Matthew Stammers, Balasubramanian Ramgopal, Abigail Owusu Nimako, Anand Vyas, Reza Nouraei, Cheryl Metcalf, James Batchelor, Jonathan Shepherd, Markus Gwiggner

“…Two independent reviewers extracted study information, clinical/algorithm details, and relevant outcome data. Methodological quality and bias risks were appraised using a checklist of quality indicators for NLP studies. …”
Get full text

A Readout Scheme for PCM-Based Analog In-Memory Computing With Drift Compensation Through Reference Conductance Tracking by Alessio Antolini, Andrea Lico, Francesco Zavalloni, Eleonora Franchi Scarselli, Antonio Gnudi, Mattia Luigi Torres, Roberto Canegallo, Marco Pasotti

“…Accuracy drop due to circuits mismatch and variability involved in the computational chain are minimized with an optimized iterative program-and-verify algorithm applied to the phase-change memory (PCM) devices. …”
Get full text

Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

“…Additionally, we apply the optimal model to extract features from the count maps and visualize the extracted GRB features using the t-SNE algorithm, discovering two distinct clusters corresponding to S-type and L-type GRBs. …”
Get full text

Forest fire risk assessment model optimized by stochastic average gradient descent by Zexin Fu, Adu Gong, Jinhong Wan, Wanru Ba, Haihan Wang, Jiaming Zhang

“…In this study, a comprehensive method for forest fire risk assessment and prediction is proposed using a back-propagation neural network (BPNN) optimized by the stochastic average gradient descent (SAGD) algorithm. The model is based on the Regional Disaster System Theory (RDST), and incorporates 11 indicators of meteorological, vegetation, and human activity factors from the aspects of hazard-formative factor, hazard-formative environment, and hazard-affected body, and achieves a prediction accuracy of 94.38% and a coefficient of determination of 0.9581 when compared with historical data and the Global Fire Weather Index (FWI). …”
Get full text

Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration by Miguel Tradacete-Ágreda, Carlos Santos-Pérez, Pablo José Hueros-Barrios, Francisco Javier Rodríguez-Sánchez, Rafael Pérez-Seguí, Javier Melero-Deza, Pascual Campoy

“…This framework enhances detection algorithms by providing rapid identification of severe issues. …”
Get full text

Large Convolution Kernel Network With Edge Self-Attention for Oriented SAR Ship Detection by Yan Feng, Yupeng Zhang, Xiangqing Zhang, Yuning Wang, Shaohui Mei

“…Second, we adopt an edge self-attention mechanism, which uses an edge detection algorithm to extract the gradient matrix of the image and integrate it into the feature pyramid structure to effectively enhance the contour information of ships. …”
Get full text

A study on the optimal allocation of photovoltaic storage capacity for rural new energy microgrids based on double-layer multi-objective collaborative decision-making by Huixuan Li, Peng Li, Xianyu Yue, Yongle Zheng, Wenjing Zu, Hongkai Zhang

“…The quantum-behaved particle swarm optimization algorithm is used to solve the optimal solution set of the objective function, and the interactive multi-criteria decision-making method is used to select the compromise solution to realize efficient optimal allocation of optical storage capacity. …”
Get full text

Sequential testing with Xpert MTB/RIF assay for diagnosis of tuberculous meningitis in Maharaj Nakorn Chiang Mai University Hospital by Poramed Winichakoon, Kanokwan Watcharasaksilp, Sunisa Butphet, Kanlaya Wongworapat, Chansom Pantip, Phadungkiat Khamnoi, Khuanchai Supparatpinyo, Parichat Salee

“…The Xpert MTB/RIF assay is a rapid and valuable tool for detecting Mycobacterium tuberculosis in centrifuged CSF specimens. A diagnostic algorithm incorporating the TBM score enhances performance, balancing sensitivity and specificity, and could improve patient outcomes in resource-limited settings.…”
Get full text

Orthodontic interventions as a management option for children with residual obstructive sleep apnea: a cohort study protocol by Carlos Flores-Mir, Nathalia Carolina Fernandes Fagundes, Arnaldo Perez-Garcia, Daniel Graf, Giseon Heo

“…The effectiveness of the intervention will be analysed by the assessment of sleep parameters, medical history (from medical chart reviews), questionnaire responses, craniofacial characteristics and metabolomic markers using an algorithm to be developed.Ethics and dissemination This study was approved by the Health Research Ethics Board-Health Panel, University of Alberta, Edmonton, Canada (Pro00084763). …”
Get full text

SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression by Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip Harris

“…However, finding compact expressions for high-dimensional datasets remains challenging due to the inherent limitations of genetic programming (GP), the search algorithm of most symbolic regression (SR) methods. …”
Get full text

A Dynamic Bayesian Network-Based Real-Time Crash Prediction Model for Urban Elevated Expressway by Xian Liu, Jian Lu, Zeyang Cheng, Xiaochi Ma

“…Random Forest (RF) method was employed to identify the most important variables, which were used to build DBN-based RTCPMs. The PC algorithm combined with expert experience was further applied to investigate the coupling interdependency among traffic flow characteristics in the DBN model. …”
Get full text

Jidoka-DT simulator programmed by hybridize XGboost-LSTM to evaluate helmets quality produced by Rice-Straw-alumina plastic dough to resist shocks and impenetrable by Ahmed M. Abed, Ahmed Fathy, Radwa A. El Behairy, Tamer S Gaafar

“…The FEM classified via XGboost algorithm to divide the helmet surface according to the severity of ground shock and analyses the forces via Long Short-Term Memory (LSTM) that are hybridised to meet the benefits of both. …”
Get full text

Study of interstage channel of hybrid turbomolecular pump by J. A. Shostak, N. K. Nikulin, P. A. Shostak, G. T. Tsakadze, E. V. Svichkar

“…The article describes an algorithm to construct a mathematical model step by step. …”
Get full text

The White Matter Functional Abnormalities in Patients with Transient Ischemic Attack: A Reinforcement Learning Approach by Huibin Ma, Zhou Xie, Lina Huang, Yanyan Gao, Linlin Zhan, Su Hu, Jiaxi Zhang, Qingguo Ding

“…The altered ALFF and fALFF values were defined as features of the reinforcement learning method involving a Q-learning algorithm. Results. Compared with HCs, patients with TIA showed decreased ALFF in the right cingulate gyrus/right superior longitudinal fasciculus/left superior corona radiata and decreased fALFF in the right cerebral peduncle/right cingulate gyrus/middle cerebellar peduncle. …”
Get full text

A Deep Learning-Based Approach to Strawberry Grasping Using a Telescopic-Link Differential Drive Mobile Robot in ROS-Gazebo for Greenhouse Digital Twin Environments by Rajmeet Singh, Lakmal Seneviratne, Irfan Hussain

“…We developed a digital twin model of the SILAL strawberry greenhouse farm in Abu Dhabi, UAE, within the ROS-Gazebo environment, to validate our algorithm and test the MARTA (Mobile Autonomous Robot with Telescopic Arm) robot. …”
Get full text