Production line performance analysis within a MTS/MTO manufacturing framework: a queueing theory approach by Iman Ghalehkhondabi, Gursel Suer

“…We can calculate the total cost of the system and find the optimal machine for the buffer of semi-finished products. 2- We use both MTS and MTO for completing the semi-finished products. …”
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Identification of a novel chemotherapy benefit index for patients with advanced ovarian cancer based on Bayesian network analysis. by Shuxiao Ma, Lu Zhou, Yi Liu, Hui Jie, Min Yi, Chenglin Guo, Jiandong Mei, Chuan Li, Lei Zhu, Senyi Deng

“…<h4>Background</h4>This study aims to evaluate the efficacy of chemotherapy and optimize treatment strategies for patients with advanced ovarian cancer.…”
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A hybrid attention-based deep learning framework for precise early diagnosis of Alzheimer’s disease by Romoke Grace Akindele, Shixin Cen, Ming Yu, Ifeoluwapo Aribilola, Tian Xinrang, Yu Liu

“…The integration of Cross-Attention further improves the model's ability to extract discriminative features from neuroimaging data, optimizing predictive performance. …”
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Development of intelligent tools to predict neuroblastoma risk stratification and overall prognosis based on multiphase enhanced CT and clinical features by Wei Zhao, Yahui Han, Xiaokun Yu, Jianing Liu, Jiao Zhang, Juan Li

“…The 1-, 3-, and 5-year AUC values of the optimal prognostic model in the training cohort were 0.93 (95% CI: 0.927–0.942), 0.93 (95% CI: 0.929–0.946), and 0.96 (95% CI: 0.953–0.974), respectively. …”
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AMNED: An Efficient Framework for Spiking Neuron Coding in AirComp Federated Learning by Juncheng Ji, Chan-Tong Lam, Ke Wang, Benjamin K. Ng

“…This paper advances ACFL technologies by proposing the Adaptive Memristor Neuron Encoding-Decoding (AMNED) framework for AirComp Federated Learning (ACFL), enabling efficient, privacy-preserving model aggregation optimized for resource-constrained wireless environments. …”
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Deep Learning-Based Portfolio Management: Empirical Study of Listed Shares on the Indonesian Stock Exchange by Grace Citra Dewi, Patrick Villanueva, Sutanto Hidayat, Elysabeth Christy Diandra Selano

“…Therefore, an accurate analysis model is needed for stock selection management. One algorithm model often used is Deep Learning Long Short Term Memory, which utilizes artificial intelligence (AI) and machine learning technology. …”
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A Hybrid Compact Convolutional Transformer with Bilateral Filtering for Coffee Berry Disease Classification by Biniyam Mulugeta Abuhayi, Andras Hajdu

“…A dataset of 1737 coffee berry images was enhanced using bilateral filtering and color segmentation. The CCT model, integrated with a Multilayer Perceptron (MLP) classifier and optimized through early stopping and regularization, achieved a validation accuracy of 97.70% and a sensitivity of 100% for CBD detection. …”
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Investigation on Pressure Drop Characteristics During Refrigerants Condensation Inside Internally Threaded Tubes by Xiangrui Meng, Jian Wang, Qian Sun, Xinling Ma

“…The standard deviation decreased from 0.0619 (Webb-based Model I) to 0.0362. Integration of SVR machine learning further enhanced tube selection efficiency through optimized correlation predictions.…”
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Coronary artery disease classification using ConvMixer based classifier from CT angiography images by C. Rajeev, Karthika Natarajan

“…Research investigations employ machine learning (ML) and deep learning (DL) techniques to achieve high accuracy and consistent performance, hence addressing existing restrictions. …”
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Application of Artificial Neural Networks to Predict the Use of Mobile Learning by University Students by Alejandro Valencia-Arias, Julián Alberto Uribe-Gómez, Evelyn Flores-Siapo, Lucia Palacios-Moya, Ada Gallegos, Ezequiel Martínez Rojas

“…The objective of this study is to assess the intention of Peruvian tertiary education students to employ mobile devices for learning by creating a predictive model that relies on ANNs. Among the main findings, it is evident that the ANN with optimal performance has 10 neurons within its hidden layer. …”
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Advancing Alzheimer’s disease detection: a novel convolutional neural network based framework leveraging EEG data and segment length analysis by Md Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, Yan Li

“…To address these issues, a deep learning-based framework is proposed to detect AD using EEG data, focusing on determining the optimal segment length for classification. This framework contains EEG data collection, pre-processing for noise removal, temporal segmentation, convolutional neural network (CNN) model training and classification, and finally, evaluation. …”
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Downscaling, bias correction, and spatial adjustment of extreme tropical cyclone rainfall in ERA5 using deep learning by Guido Ascenso, Andrea Ficchì, Matteo Giuliani, Enrico Scoccimarro, Andrea Castelletti

“…However, it is equally important to ensure that the rainfall peaks are correctly located within the rainfall maps, especially if these maps are then used as input to hydrological models. In this paper, we describe a novel machine learning model that addresses both gaps, RA-Ucmpd, based on the popular U-Net model. …”
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HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS by Abdulrafiu Yusuf, Olalekan Ogunbiyi, Lambe Mutalub Adesina, Bashiru Olalekan Ariyo

“…Additionally, the hybrid model demonstrated superior bad data detection and filtering. …”
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Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer by Ayan Chatterjee, Michael A. Riegler, K. Ganesh, Pål Halvorsen

“…This study’s objective is to create a semantic model of HRV features in a knowledge graph and develop an accurate, reliable, explainable, and ethical AI model for predictive HRV analysis. …”
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Mapping County-Level Rice Planting Areas by Joint Use of High-Resolution Optical and Time Series SAR Imagery by Jia Xu, Haojie Wang, Lin Qiu, Hui Wang, Yang Mu

“…Subsequently, the long short-term memory (LSTM)-based temporal classification model was utilized to acquire rice cultivation information at parcel scale using time-series Sentinel-1 SAR data. …”
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Research on Modification Method of Internal Gearing Power Honing based on Flexible Dressing of Honing Wheel by Lian Xia, Qing Wang, Jiang Han, Xiaoqing Tian

“…Firstly，the tooth surface mathematical model of dressing and honing is established according to the motion relationship of each axis of gear honing machine. …”
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一种组合齿轮传动系统的设计及仿真 by 樊登焕, 吴小明

“…A combined gear transmission system is designed.The transmission ratio is got according to input and output character of system,following,transmission ratio is optimized based on entrop weight,the standard parameters of transmission part are confirmed,finally,two Pro/e models are used for dynamic imitation of machine,the result shows theoretical reference for the manufacture of sample machine.…”
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Phase Diagram of Extensive-Rank Symmetric Matrix Denoising beyond Rotational Invariance by Jean Barbier, Francesco Camilli, Justin Ko, Koki Okajima

“…The reason is that the model is not a usual spin system because of the growing rank dimension, nor a matrix model (as appearing in high-energy physics) due to the lack of rotation symmetry, but rather a hybrid between the two. …”
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Experimental studies on latent heat capacity of hybrid nano-enhanced phase change materials using artificial neural network for energy storage applications by Pradnya Sameer Deshpande, R. Jyothilakshmi, Lalitha Chinmayee H. M., B. S. Sridhar

“…The model achieved a high coefficient of determination (R2 = 0.9479) and a low root-mean-square error (RMSE = 2.0307), underscoring its accuracy and reliability. …”
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Prediction of shrink lines in powder bed fusion of metals using a laser beam by means of a finite element simulation approach by Dominik Rauner, Niklas Eilers, Hannes Panzer, Lukas Frei, Michael F. Zaeh

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