Hybrid LSTM–Seq2Seq Models: Improved Patient Interaction for Healthcare Chatbots by saba abdalmnam, Suha Mohammed Hadi, Mustafa Musa

“…The capability of the model for sequence prediction is attributed to its robustness. Other methods of evaluation employing measures such as the Nash–Sutcliffe efficiency coefficient, correlation coefficient, and normalized root mean square error demonstrate that the model is superior to other machine learning algorithms utilizing linear regression and GP regression. …”
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Identification of Changing Lower Limb Neuromuscular Activation in Parkinson’s Disease during Treadmill Gait with and without Levodopa Using a Nonlinear Analysis Index by Amir Pourmoghaddam, Marius Dettmer, Daniel P. O’Connor, William H. Paloski, Charles S. Layne

“…This could help clinicians to evaluate the efficacy of interventions and treatments in Parkinson’s disease in a simple manner.…”
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Machine vision-based automatic fruit quality detection and grading by Amna, Muhammad Waqar AKRAM, Guiqiang LI, Muhammad Zuhaib AKRAM, Muhammad FAHEEM, Muhammad Mubashar OMAR, Muhammad Ghulman HASSAN

“…Different image processing algorithms including pre-processing, thresholding, morphological and bitwise operations combined with a deep leaning algorithm, i.e., convolutional neural network (CNN), were applied to fruit images for the detection of defective fruit. …”
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Discrimination of Nasopharyngeal Carcinoma from Noncancerous Ex Vivo Tissue Using Reflectance Spectroscopy by Zhihong Xu, Wei Huang, Duo Lin, Shanshan Wu, Maowen Chen, Xiaosong Ge, Xueliang Lin, Liqing Sun

“…High quality reflectance spectra were acquired from nasopharyngeal ex vivo tissues belonging to 18 noncancerous and 19 cancerous subjects, and the combination of principal component analysis-linear discriminant analysis (PCA-LDA) along with leave-one-spectrum-out cross-validation (LOOCV) diagnostic algorithm was subsequently employed to classify different types of tissue group, achieving a diagnostic sensitivity of 73.7% and a specificity of 72.2%. …”
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Using Satellites to Monitor Soil Texture in Typical Black Soil Areas and Assess Its Impact on Crop Growth by Liren Gao, Yuhong Zhang, Deqiang Zang, Qian Yang, Huanjun Liu, Chong Luo

“…This study utilizes the random forest algorithm, Landsat-8 satellite remote sensing data, and climate- and terrain-related environmental covariates to map the spatial distribution of soil texture and analyze its impact on crop growth. …”
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Improved Iterative CD-Spline Approach for Building Boundary Regularization Using Airborne LiDAR Data by Renato Cesar dos Santos, Ayman F. Habib, Mauricio Galo

“…In the ICDS strategy, CPs are detected using Douglas–Peucker algorithm followed by an angle-based constraint; then, a single set of CPs is used in a regularization process, not being possible to guarantee that the derived result corresponds to the best contour model. …”
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Design and Performance Analysis of Fuzzy Logic Controller for Solar Photovoltaic System by Kumuthawathe Ananda-Rao, Steven Taniselass, Afifah Shuhada Rosmi, Aimi Salihah Abdul Nasir, Nor Hanisah Baharudin, Indra Nisja

“…The system is modeled and simulated using MATLAB/Simulink, incorporating the PV system, MPPT algorithm, and models for the PV module and boost converter. …”
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Efficient Hybrid DDPG Task Scheduler for HPC and HTC in Cloud Environment by S. Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, Atif M. Alamri, Salman A. Alqahtani

“…Finally, our proposed Hybrid workload Deep Deterministic Policy Gradient Task scheduler(HDDPGTS) evaluated over DQN, A2C algorithms. From results, it proved that our proposed HDDPGTS significantly improved makespan, Energy consumption, scheduling overhead, scalability over baseline approaches.…”
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Towards the digital extraction column: Online-monitoring and analysis of fluid dynamics in liquid-liquid extraction columns by Andreas Palmtag, Lorenz Lehmann, Leon Rojas Hanz, Uliana Kiseleva, Andreas Jupke

“…The camera images were processed by YOLOv8 for drop detection and the ByteTrack algorithm for drop tracking, achieving high accuracy on unseen data. …”
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Comparative techno-economic analysis of grid-connected solar PV-battery and PV-fuel cell systems for educational institutions sustainable academic laboratories by Takele Ferede Agajie, Fuseini Seidu Ibrahim, Isaac Amoussou, Elsabet Ferede Agajie, Eriisa Yiga Paddy, Yayehyirad Ayalew Awoke, Wirnkar Basil Nsanyuy, Mohit Bajaj

“…Techno-economic decision criteria were implemented using MATLAB. Three algorithms were used: Teaching–Learning-Based Optimization (TLBO), Water Cycle Algorithm (WCA), and Improved Grey Wolf Optimization (I-GWO). …”
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A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence by Emrah Aslan, Yildirim Ozupak, Feyyaz Alpsalaz, Zakaria M. S. Elbarbary

“…The study presents a detailed comparison of different classification algorithms and evaluates their performance using metrics such as accuracy, recall, and F1 score. …”
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Master–Slave Game Optimization Scheduling of Multi-Microgrid Integrated Energy System Considering Comprehensive Demand Response and Wind and Storage Combination by Hongbin Sun, Hongyu Zou, Jianfeng Jia, Qiuzhen Shen, Zhenyu Duan, Xi Tang

“…A case study is conducted to evaluate the effectiveness of the proposed strategy, demonstrating significant economic benefits. …”
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Control Research on Active Pitch Control System for Horizontal-Axis Tidal-Current Turbine Generator by Fuli Zhang, Wanqiang Zhu, Shuai Zu, Xueming Zhang, Jianmei Chen, Baigong Wu, Jipeng Huang

“…Simulation was carried out on the MATLAB/Simulink (2023a) platform to evaluate the performance of the two controllers under different flow rates and interference conditions. …”
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A multi-objective improved horse herd optimizer based on convex lens imaging for stochastic optimization of wind energy resources in distribution networks considering reliability a... by Fude Duan, Ali Basem, Dheyaa J. Jasim, Mahdiyeh Eslami, Mustafa Okati

“…The simulation results are presented with and without considering uncertainty in two scenarios of deterministic and stochastic WT allocation on 33- and 69-bus distribution networks and different objectives are compared. Also, the effect of incorporating uncertainties are evaluated on power loss and reliability using the MOIHHO. …”
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ShipRSImageNet: A Large-Scale Fine-Grained Dataset for Ship Detection in High-Resolution Optical Remote Sensing Images by Zhengning Zhang, Lin Zhang, Yue Wang, Pengming Feng, Ran He

“…Moreover, several state-of-the-art detection algorithms are evaluated on our proposed ShipRSImageNet dataset to give a benchmark for deep-learning-based ship detection methods, which is valuable for assessing algorithm improvement.…”
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The adaptive dynamic programming signal control system for person in a connected vehicle environment by Zongyuan Wu, Shiming LI, Gen LI, Ben Waterson, Luyao Zhu, Decai Wang

“…Leveraging Connected Vehicle (CV) data, this study proposes a novel Person-Based Adaptive Control Algorithm (PB-ACA) to minimize average person delay at isolated urban intersections. …”
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Analysis of Facial Areas to Identify CHD Risks Based on Facial Textures by Budi Sunarko, Agung Adi Firdaus, Yudha Andriano Rismawan, Anan Nugroho

“…This study aimed to develop and evaluate a machine learning model or diagnose CHD using facial texture features and to compare the performance across different facial regions to provide recommendations for improvement. …”
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The associations of cardiovascular health and all-cause mortality among individuals with depression by Meili Li, Youwei Huang, Jie Zhou, Ruijie Xie, Xianzhou Lu, Yanyan Shen

“…Abstract The association between the recently updated cardiovascular health (CVH) assessment algorithm, the Life’s Essential 8 (LE8), and all-cause mortality among adults with depression remains unknown. …”
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Assessing power-to-heat technologies for industrial electrification: A multi-criteria decision analysis approach by Arman Ashabi, Mohamed Mostafa, Andriy Hryshchenko, Ken Bruton, Dominic T.J. O’sullivan

“…This research identifies and evaluates various power-to-heat technologies, each technology contributes uniquely to the overarching goal of industrial electrification. …”
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Influence of image reconstruction protocols on the image quality of a small animal PET scanner using 18F and 11C by João Vitor do Carmo Barbosa, Rodrigo Modesto Gadelha Gontijo, Guilherme Cavalcante de Albuquerque Souza, Bruno Melo Mendes, Juliana Batista da Silva, Marcelo Mamede, Andréa Vidal Ferreira

“…PET images of the image quality phantom filed with 18F-FDG or 11C-PK1122 were acquired and then reconstructed using different reconstruction protocols. The reconstruction variables evaluated were the algorithms (FBP, MLEM-3D, OSEM-3D), the resolution mode (high/standard) and the number of iterations (10 to 150). …”
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