The Observation Report of Red Blood Cell Morphology in Thailand Teenager by Using Data Mining Technique by Sarawut Saichanma, Sucha Chulsomlee, Nonthaya Thangrua, Pornsuri Pongsuchart, Duangmanee Sanmun

“…We found that the decision tree which is created from the algorithm can be used as a practical guideline for RBC morphology prediction by using 4 hematological parameters (MCV, MCH, Hct, and RBC). …”
Get full text

Enablers and barriers to community pharmacists' readiness to implement deprescribing of inappropriate medications for older adults in Qatar. by Marwa Elshazly, Sondus Jawad, Ayesha Ahmed, Hager ElGeed, Kazeem Babatunde Yusuff

“…The top-ranked enablers of community pharmacists' readiness to implement deprescribing were exposure to CPD on the use of deprescribing toolkits and algorithm, interprofessional collaboration with physicians and shared electronic patient record. …”
Get full text

A Clustering and SVM Regression Learning-Based Spatiotemporal Fuzzy Logic Controller with Interpretable Structure for Spatially Distributed Systems by Xian-xia Zhang, Jun-da Qi, Bai-li Su, Shi-wei Ma, Hong-bo Liu

“…Thirdly, the consequent parameters are learned by a linear SVM regression algorithm. Additionally, the universal approximation capability of the proposed 3-D fuzzy system is discussed. …”
Get full text

Inflatable Leading Edge-Based Dynamic Stall Control considering Fluid-Structure Interaction by Shi-Long Xing, He-Yong Xu, Ming-Sheng Ma, Zheng-Yin Ye

“…Radial basis function- (RBF-) based mesh deformation algorithm and Laplacian and optimization-based mesh smoothing algorithm are adopted in flowfield simulations to achieve the pitching oscillation of the airfoil and to ensure the mesh quality. …”
Get full text

Condition Monitoring of Marine Diesel Lubrication System Based on an Optimized Random Singular Value Decomposition Model by Shuxia Ye, Bin Da, Liang Qi, Han Xiao, Shankai Li

“…The first section addresses advanced data preprocessing, where the Improved Sparrow Search Algorithm (ISSA) is employed to optimize the parameters of Random Singular Value Decomposition (RSVD). …”
Get full text

Nonlinear MIMO Control of a Continuous Cooling Crystallizer by Pedro Alberto Quintana-Hernández, Raúl Ocampo-Pérez, Salvador Tututi-Avila, Salvador Hernández-Castro

“…In this work, a feedback control algorithm was developed based on geometric control theory. …”
Get full text

IDENTIFICATION OF NOMINAL DYNAMIC CHARACTERISTICS OF AIRCRAFT GAS TEMPERATURE SENSORS by A. F. Sabitov, I. A. Safina

“…The aim of the study was to develop methods of recalculation of a test results of a limited number of gas temperature sensors that were received at certified airflow equipment and to get nominal dynamic characteristics of a particular type of gas temperature sensors in the anticipated operating conditions.This study offers the algorithm for the identification of the nominal dynamic characteristics of gas temperature sensors that are used to measure the temperature of gases in aircraft gas turbine engines. …”
Get full text

A Proactive Robust Scheduling Method for Aircraft Carrier Flight Deck Operations with Stochastic Durations by Xichao Su, Wei Han, Yu Wu, Yong Zhang, Jie Liu

“…Simulation results shows that the HTLBO algorithm outperforms both some other state-of-the-art algorithms for deterministic cases and some existing algorithms for stochastic project scheduling, and the robustness of the flight deck operations can be improved with the proposed resource allocation schemes and CPC policy.…”
Get full text

Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets by Dinesh Chellappan, Harikumar Rajaguru

“…Researchers utilizing a hybrid feature extraction method such as Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) followed by metaheuristic feature selection algorithms as Harmonic Search (HS), Dragonfly Algorithm (DFA), Elephant Herding Algorithm (EHA). …”
Get full text

Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators by Ala Saleh Alluhaidan, Diaa Salama AbdElminaam, Taraggy M. Ghanim, Sahar A. El-Rahman, Ibrahim Shawky Farahat, Arar Al Tawil, Yasmin Alkady, Walaa H. Elashmawi

“…This study presents PV parameter estimation using the enhanced Sinh Cosh Optimizer (I_SCHO), incorporating trigonometric operators from the Sine Cosine Algorithm (SCA). This integration improves the algorithm’s ability to navigate complex search spaces, avoid local optima, and expedite convergence. …”
Get full text

Predicting Energy and Emissions in Residential Building Stocks: National UBEM with Energy Performance Certificates and Artificial Intelligence by Carlos Beltrán-Velamazán, Marta Monzón-Chavarrías, Belinda López-Mesa

“…Our findings indicate that the XGBoost algorithm outperforms other techniques estimating building-level energy consumption and emissions. …”
Get full text

Scratch Scoring by a Sheet-shaped Body Vibrometer in Nocturnal Sleep: A Pilot Study Compared with Infrared Video Recording by Saori Toyota, Takamasa Kogure, Eitaro Kondo, Ken-ichi Yasuda, Yozo Ishiuji, Toshiya Ebata

“…To evaluate the algorithm, the sleep of 7 patients with atopic dermatitis and 3 healthy participants was simultaneously measured using an infrared camera and the sheet-shaped body vibrometer. …”
Get full text

Application of Deep Learning to Identify Flutter Flight Testing Signals Parameters and Analysis of Real F-18 Flutter Flight Test Data by Sami Abou-Kebeh, Roberto Gil-Pita, Manuel Rosa-Zurera

“…We explore the preliminary viability of different deep learning networks and compare their performances to existing methods such as the PRESTO algorithm and Laplace Wavelet Matching Pursuit estimation. …”
Get full text

Premier Dynamic Bandwidth Management and Tensile Wavelength Selection Ensuring QoS for NG-EPONs by Purushottam Singh, Pushpendra Kumar, Harshita Patel, Kanojia Sindhuben Babulal, Gayathri Ananthakrishnan

“…Comparative analysis reveals that TW-DBA outperforms existing algorithms like Flexible Wavelength (FW), First-Fit, and Water Filled, both in computational efficiency and resource allocation. …”
Get full text

A multi-attribute decision making context for supply chain management using possibility single-valued neutrosophic soft settings by Saeed Muhammad, Basit Ali Muhammed, Rahman Atiqe Ur, Yasir Hayat Malik Muhammad

“…The suggested algorithm’s robustness is confirmed by comparison to evaluate its dependability and adaptability for modeling uncertainties related to the supplier selection problem.…”
Get full text

Learning-based DoS attack game strategy over multi-process systems by Zhiqiang Hang, Xiaolin Wang, Fangfei Li, Yi-ang Ren, Haitao Li

“…To solve this problem, we employed the multi-agent deep deterministic policy gradient algorithm. Numerical experiments demonstrate that the algorithm is effective for solving the game problem and exhibits convergence in multi-agent environments, outperforming other algorithms.…”
Get full text

Prediction Model of Soybean Meal Protein Content Based on Low-field Nuclear Magnetic Resonance and Near-infrared Data Fusion by REN Guo-wei, ZHENG Sheng-guo, LU Bing, LU Dao-li, CHEN Bin

“…The partial least squares method, BP (Back Propagation) neural network and Sparrow Search Algorithm (SSA) were employed to optimize the BP neural network (SSA-BP). …”
Get full text

The joint policy of production, maintenance, and product quality in a multi-machine production system by reinforcement learning and agent-based modeling by Mohammad Reza Nazabadi, Seyed Najafi, Ali Mohaghar, Farzad Movahedi Sobhani

“…The production system studied in this research has been modeled using the agent-based simulation, and the Reinforcement Learning (RL) algorithm has obtained the optimal integrated policy. …”
Get full text

Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation by Yong Wang, Hongguo Cai, Yinghua Liao, Jun Gao

“…As for such differences, this paper adopts intelligent algorithm to design the parameters of the transmission system and introduces the genetic algorithm into the optimization design of parameters to obtain the optimal vital parameters of the power transmission system based on computer simulation. …”
Get full text

Construction of Gene Regulatory Networks Using Recurrent Neural Networks and Swarm Intelligence by Abhinandan Khan, Sudip Mandal, Rajat Kumar Pal, Goutam Saha

“…Finally, we have investigated two medium sized genetic networks (in silico) extracted from GeneNetWeaver, to understand how the proposed algorithm scales up with network size. Additionally, we have implemented our proposed algorithm with half the number of time points. …”
Get full text