Estimation of Elasticity of Porous Rock Based on Mineral Composition and Microstructure by Zaobao Liu, Jianfu Shao, Weiya Xu, Chong Shi

“…Then the support vector machine (SVM) optimized by the particle swarm optimization algorithm (PSO) is examined to generate estimations of the ECS based on the mineral composition and microstructures. …”
Get full text

Dynamic emotion intensity estimation from physiological signals facilitating interpretation via appraisal theory. by Isabel Barradas, Reinhard Tschiesner, Angelika Peer

“…Using data-extracted physiological features, we train intrasubject and intersubject intensity models using a genetic algorithm, which outperform traditional sliding-window linear regression, providing a robust basis for interpretation. …”
Get full text

Hybrid modeling for optimizing electrospun polyurethane nanofibrous membranes in air filtration applications by Majid Sohrabi, Milad Razbin

“…An advanced statistical approach is used to systematically collect and analyze data, followed by modeling these relationships using artificial neural networks (ANN) and analytical formulas to enhance predictive accuracy. A genetic algorithm (GA) is subsequently utilized to refine electrospinning parameters, facilitating the production of nanofibers with enhanced filtration efficiency and optimized airflow resistance. …”
Get full text

Proactive Traffic Information Control in Emergency Evacuation Network by Zhengfeng Huang

“…In the aspect of the solution algorithm, differential equilibrium decomposed optimization (D-EDO) is proposed to compare with other heuristic methods. …”
Get full text

High Dose Selection for General Toxicity Studies of New Medicines by G. N. Engalycheva, R. D. Subaev

“…It determines the informative value of study results, the compliance with the principles of ethical and rational use of experimental animals, and the accuracy of predicting the safety of new medicines for human use. …”
Get full text

Research on Highly Real-Time and High Precision Localization Method for Rail Transit by HUANG Wenyu, PAN Wenbo, LI Yuanzhengyu, CHEN Zhiwei, YANG Zhenyu, YUAN Chao

“…First, the results from inertial computation are directly used as predictive input values for the filter, to fully leverage the dynamic response characteristics of inertial sensors. …”
Get full text

Insight into Rotational Effects on a Horizontal Axis Wind Turbine NREL Phase ii Using CFD simulation and inverse BEM by Belamadi Riyadh

“…Secondly, A comparison of lift and drag coefficients was made between the results obtained using the inverse algorithm BEM based on the calculated pressure distributions and the experimental test data. …”
Get full text

Analytical and numerical routes to strong coupling in N $$ \mathcal{N} $$ = 2 SCFTs by Pieter-Jan De Smet, Alessandro Pini, Paolo Vallarino

“…We also outline a numerical algorithm that serves as an independent check of the analytical results and provides predictions in cases where analytical techniques are currently not known.…”
Get full text

Load balancing optimization based on hybrid Heuristic-Metaheuristic techniques in cloud environment by Amanpreet Kaur, Bikrampal Kaur

“…The proposed framework is based on the hybridization of heuristic techniques with metaheuristic algorithm to achieve its optimal performance in terms of makespan and cost. …”
Get full text

Neural network analysis of pharyngeal sounds can detect obstructive upper respiratory disease in brachycephalic dogs. by Andrew McDonald, Anurag Agarwal, Ben Williams, Nai-Chieh Liu, Jane Ladlow

“…The algorithm could enable widespread screening for BOAS to be conducted by both owners and veterinarians, improving treatment and breeding decisions.…”
Get full text

Analysis of non-exponential sound decay in an enclosure composed of two connected rectangular subrooms by Mirosław Meissner

“…In this investigation a combination of modal analysis with finite-difference algorithm was used to predict a decay in the sound field energy in an enclosure composed of two connected rectangular subrooms. …”
Get full text

Fire weather indices tailored to regional patterns outperform global models by Assaf Shmuel, Teddy Lazebnik, Eyal Heifetz, Oren Glickman, Colin Price

“…Tailoring the index to each country with a Genetic Algorithm significantly improves its accuracy, raising the ROC AUC from 0.69 to 0.79. …”
Get full text

The development of the generative adversarial supporting vector machine for molecular property generation by Qing Lu

“…Scientific contribution statement: A generative adversarial algorithm combing supporting vector machine is proposed for the first time to predict molecular properties from scratch, which agrees well with ab initio values. …”
Get full text

On modelling of the one dimensional pseudoelastic effect of shape memory alloys by Zidane Imade, Meddour Belkacem

“…Based on thermodynamics and mechanics laws and principles, the developed constitutive model was implemented in an algorithm and compared with experimental data in order to assess its accuracy. …”
Get full text

From phytochemicals to recipes: health indications and culinary uses of herbs and spices by Rishemjit Kaur, Shuchen Zhang, Bhavika Berwal, Sonalika Ray, Ritesh Kumar, Lav R. Varshney

“…The remaining 40% are hypotheses generated in a principled way for further experimental investigations. We also develop an algorithm to find the minimum set of spices needed to cover a target group of health conditions. …”
Get full text

RSCS6D: Keypoint Extraction-Based 6D Pose Estimation by Weiyu Liu, Nan Di

“…Next, we introduce a novel keypoint cloud extraction algorithm that combines RGB and depth images to detect 2D keypoints and convert them into 3D keypoints. …”
Get full text

BCAST IDS: A Novel Network Intrusion Detection System for Broadcast Networks by Javier Gombao

“…A modern approach to enhancing the capabilities of NIDSs is the use of machine learning (ML) algorithms that predict attacks based on data. This study introduces a novel and lightweight NIDS called Broadcast IDS (BCAST IDS) that uses specific network traffic patterns and the Isolation Forest algorithm to detect anomalies in broadcast networks. …”
Get full text

Application of Data Mining Techniques on Tourist Expenses in Malaysia by Miao Cai, Tan Shi An

“…By apply data mining on tourism data for predicting the area of business opportunity is a good choice. …”
Get full text

Effective human–object interaction recognition for edge devices in intelligent space by Haruhiro Ozaki, Dinh Tuan Tran, Joo-Ho Lee

“…In the experiment, a scenario in which a human is working on a desk is simulated and an algorithm is trained on object-specific interactions. …”
Get full text

Making sense of transformer success by Nicola Angius, Pietro Perconti, Alessio Plebe, Alessandro Acciai

“…In particular, available experimental studies turned to test the theory of mind, discourse entity tracking, and property induction in NLMs are examined under the light of the functional analysis in the philosophy of cognitive science; the so-called copying algorithm and the induction head phenomenon of a Transformer are shown to provide a mechanist explanation of in-context learning; finally, current pioneering attempts to use NLMs to predict brain activation patterns when processing language are here shown to involve what we call a co-simulation, in which a NLM and the brain are used to simulate and understand each other.…”
Get full text