A discrete extension of the Lindley distribution for health and sustainability data: Theoretical insights and decision-making applications by Mahmoud El-Morshedy, Mohamed S. Eliwa, Abhishek Tyagi, Hend S. Shahen

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A Comparative Analysis of Hyper-Parameter Optimization Methods for Predicting Heart Failure Outcomes by Qisthi Alhazmi Hidayaturrohman, Eisuke Hanada

“…Bayesian Search had the best computational efficiency, consistently requiring less processing time than the Grid and Random Search methods. …”
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A Futuristic Approach to Security in Cloud Data Centers Using a Hybrid Algorithm by Dipankar Chatterjee, Mostaque Md. Morshedur Hassan, Nazrul Islam, Asmita Ray, Munsifa Firdaus Khan Barbhuyan

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Parameter Prediction for Metaheuristic Algorithms Solving Routing Problem Instances Using Machine Learning by Tomás Barros-Everett, Elizabeth Montero, Nicolás Rojas-Morales

“…Tuning the parameters of a metaheuristic is a computationally costly task. …”
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MEAC: A Multi-Scale Edge-Aware Convolution Module for Robust Infrared Small-Target Detection by Jinlong Hu, Tian Zhang, Ming Zhao

“…Traditional convolutional neural networks (CNNs) struggle to detect such weak, low-contrast objects due to their limited receptive fields and insufficient feature extraction capabilities. To overcome these limitations, we propose a Multi-Scale Edge-Aware Convolution (MEAC) module that enhances feature representation for small infrared targets without increasing parameter count or computational cost. …”
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Noise Reduction with Recursive Filtering for More Accurate Parameter Identification of Electrochemical Sources and Interfaces by Mitar Simić, Milan Medić, Milan Radovanović, Vladimir Risojević, Patricio Bulić

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Enhancement of rime algorithm using quadratic interpolation learning for parameters identification of photovoltaic models by Shazly A. Mohamed, Abdullah M. Shaheen, Mohammed H. Alqahtani, Badr M. Al Faiya

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Intelligent Recognition and Parameter Estimation of Radar Active Jamming Based on Oriented Object Detection by Jiawei Lu, Yiduo Guo, Weike Feng, Xiaowei Hu, Jian Gong, Yu Zhang

“…The core idea of the method is to reformulate the jamming perception problem as an object detection task in computer vision, and we pioneer the application of oriented object detection to this problem, enabling simultaneous jamming classification and key parameter estimation. …”
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PlutoNet: An efficient polyp segmentation network with modified partial decoder and decoder consistency training by Tugberk Erol, Duygu Sarikaya

“…Another challenge with these models is that they are computation and memory intensive, which can pose a problem with real‐time applications. …”
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BCI‐control and monitoring system for smart home automation using wavelet classifiers by Amer Al‐Canaan, Hicham Chakib, Muhammad Uzair, Shuja‐uRehman Toor, Amer Al‐Khatib, Majid Sultan

“…Abstract Brain Computer Interface (BCI) is a major research field that is based upon Electroencephalography (EEG) brain signals, which are captured using EEG electrodes, amplified and filtered before being converted to the digital form in order to perform thorough pre‐processing and machine‐learning. …”
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Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks by Xiaoying Tang, Zhiqiang Li, Lang Zeng, Hongwei Zhou, Xiaoxu Cheng, Zhenjie Yao

“…Therefore, this work proposes a machine learning-based device modeling algorithm to capture the complex nonlinear relationship between parameters and electrical characteristics of gate-all-around (GAA) nanowire field-effect transistors (NWFETs) from technology computer-aided design (TCAD) simulation results. …”
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Modelling and verification of parameterized architectures: A functional approach by Salah Merniz, Saad Harous

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Role of pre-procedure CCTA in predicting failed percutaneous coronary intervention for chronic total occlusions by Hua Zhou, Xiaojun Fan, Mingyuan Yuan, Wei Wang, Qiyuan Wu

“…Purpose: This study aimed to identify major lesion characteristics of chronic total occlusions (CTOs) that predict failed percutaneous coronary intervention (PCI) using pre-procedure coronary computed tomography angiography (CCTA) in combination with conventional coronary angiography (CCA). …”
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CBCT based investigation of furcation groove’s prevalence, depth, length and associated dentin thickness in Maxillary First Permanent Premolars in Saudi Sub-population by Safia S. Shaikh, Muhammad Qasim Javed, Ahmed Ali, Zaina Ahmad, Khawlah Almohimeed, Ayman M. Abulhamael, Ra’fat I. Farah

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Machine learning for optimal parameter prediction in free space continuous-variable quantum key distribution by Dong Chen, Cheng Jin, Liu Ao, Chen Lanjian, Chen YuJie, Yin Peng, Wu TianYi

“…But the efficiency of local search methods is limited in low latency and limited computing power scenarios due to their high computational consumption. …”
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Rice Growth Parameter Estimation Based on Remote Satellite and Unmanned Aerial Vehicle Image Fusion by Jiaqi Duan, Hong Wang, Yuhang Yang, Mingwang Cheng, Dan Li

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Gliosarcoma: A Very Rare Biphasic Histopathological Engima Associated with Very Poor Prognostic Parameters by Pal Ruchismita, CD Anand, J Sowmiya, TP Jayaselvan, Manasa Raj

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Automatic measurement of proximal femoral morphological parameters using point cloud semantic segmentation technology by Yagang Wang, Qiulong Yang, Jiantao Li, Kaixuan Wang, Miaotian Tang

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SpecTE: Parameter Estimation for LAMOST Low-resolution Stellar Spectra Based on Denoising Pretraining by Xirong Zhao, Xiangru Li, Hui Li, Xianqi Liu

“…SpecTE enhances its sensitivity to spectral features and improves its parameter estimation accuracy by prelearning a mapping from low-quality spectra to high-quality spectra. …”
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From Image to Sequence: Exploring Vision Transformers for Optical Coherence Tomography Classification by Amirali Arbab, Aref Habibi, Hossein Rabbani, Mahnoosh Tajmirriahi

“…Results: While our model achieves an accuracy of 99.80% on the OCT2017 dataset, its standout feature is its parameter efficiency–requiring only 6.9 million parameters, significantly fewer than larger, more complex models such as Xception and OpticNet-71. …”
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