Processing ambient noise using wavelet analysis tools: the Iraqi Seismological broadband Network Data at Iraqi Meteorological Organization and seismology (IMOS) by Hasanain Jasim Mohammed, Ali M. Al-Rahim

“… The main objective of this research is to reduce the expected error between the original signal polluted by the implicit and estimated noise. …”
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A deep biometric hash learning framework for three advanced hand‐based biometrics by Huikai Shao, Dexing Zhong, Xuefeng Du

“…Abstract Hand‐based biometrics has undergone extensive research in recent decades. Besides fingerprint, which is commonly used in personal authentication, there are other three advanced hand‐based biometrics that are further researched worldwide, such as palmprint, palm vein, and dorsal hand vein. …”
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Penerapan Extreme Learning Machine (ELM) untuk Peramalan Laju Inflasi di Indonesia by Adyan Nur Alfiyatin, Wayan Firdaus Mahmudy, Candra Fajri Ananda, Yusuf Priyo Anggodo

“…Forecasting is an activity to know future events based on past data. In this research using artificial intelligence method is extreme learning machine (ELM). …”
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Fault detection in beam structure using adaptive immune based approach by Sasmita Sahu, Shakti P. Jena

“…One such method has been proposed in this research work and the proposed method can be employed as an online tool for the fault identification. …”
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Validity of GPS data in driving cycles by Harry Smith II, Suhail Akhtar, Brian Caulfield, Margaret O'Mahony

“…Abstract There is continuous research into driving cycles (DCs) as researchers across the globe seek to define driving characteristics, energy consumption, and emissions in a local context. …”
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Prediction of coal and gas outbursts based on physics informed neural networks and traditional machine learning models by Lei Wang, Baoshan Jia, Guorui Su

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Generation of Structural Components for Indoor Spaces from Point Clouds by Junhyuk Lee, Yutaka Ohtake, Takashi Nakano, Daisuke Sato

“…Point clouds from laser scanners have been widely used in recent research on indoor modeling methods. Currently, particularly in data-driven modeling methods, data preprocessing for dividing structural components and nonstructural components is required before modeling. …”
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Global Buckling Simulation and Design of a Novel Concrete-Filled Corrugated Steel Tubular Column by Chao-Qun Yu, Sheng-Jie Duan, Jing-Zhong Tong

“…However, there is a lack of research on their stability behavior under such conditions. …”
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Predicting the Displacement of Single Battered Pile in Sandy Soil under Pullout Loading Using Artificial Neural Network by Ahmed Mohammed Najemalden

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An analytical examination of the performance assessment of CNN-LSTM architectures for state-of-health evaluation of lithium-ion batteries by Arun Jose, Sonam Shrivastava

“…A bibliometric analysis was conducted to identify the current trends in the state of health estimation. This research specifically examines the potential of the convolutional neural network–long short-term memory algorithm to improve the precision of State of Health forecasts for the battery model. …”
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Leveraging the Global Innovation Index to Boost Manufacturing Efficiency in Algeria: An ARDL Model Study (2011-2022) by Souleyman Beghni, Meriyam Gourari

“…The results indicate that innovation inputs, such as institutions, human capital and research, infrastructure, market sophistication, and business sophistication, have a statistically significant negative impact on manufacturing growth, suggesting inefficiencies or delays in realizing the benefits of innovation investments. …”
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Numerical Method for Determining Potential Coefficients Matrix for Multiconductor Transmission Line by Patiuk V.

“…When constructing the capacitance matrix of an electric line, it is necessary to solve the boundary problems for the Laplace equation with nonlocal boundary conditions. The aim of this research is to develop a new method for constructing a potential coefficients matrix, which allows us to express the voltage vector in the wires through the charge vector. …”
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Capital market indicators and their impact on banking sector performance in Nigeria by Godswill Osuma, Abieyuwa Ohonba

“…It recommends strengthening regulatory frameworks, improving market transparency, and fostering investor confidence to enhance capital market development and ensure sustained growth in the banking sector. This research contributes to literature by offering sector-specific insights into the capital market–banking performance nexus in emerging economies.…”
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Gradient boosting regression for faster Partitioned Iterated Function Systems‐based head pose estimation by Paola Barra, Riccardo Distasi, Chiara Pero, Stefano Ricciardi, Maurizio Tucci

“…Since, so far, the primary aim in HPE research has been on improving estimation accuracy, there are only a few works reporting the computing time of the proposed HPE method and even less explicitly addressing it. …”
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Applying transfer learning in CNN model architectures for detecting tomato leaf disease with explainable artificial intelligence by Alexander Takele Mengesha, Melaku Alelign Mengistie

“…Traditional manual inspection is error-prone and impracti cal for large-scale farming. …”
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Vit-Traj: A Spatial–Temporal Coupling Vehicle Trajectory Prediction Model Based on Vision Transformer by Rongjun Cheng, Xudong An, Yuanzi Xu

“…In recent years, data-driven vehicle trajectory prediction models have become a significant research focus, and various spatial–temporal neural network models, based on spatial–temporal data, have been proposed. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…This paper presents an innovative approach to wind energy forecasting through the implementation of an extended long short-term memory (xLSTM) model. This research addresses fundamental limitations in time-sequence forecasting for wind energy by introducing architectural enhancements to traditional LSTM networks. …”
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Enhancing predictive modeling across industries with automated machine learning: applications in insurance and agriculture by K. P. Swain, S. K. Mohapatra, Santosh Kumar Sahoo

“…Using datasets from Kaggle reinforces the accessibility and replicability of this research, providing a robust framework for further exploration in diverse industry applications.…”
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Medical students’ perspectives on effective and ineffective teaching behaviors in lectures by KwangHo Mun, Hye Jin Park

“…Despite its importance, limited research has explored the specific differences between effective and ineffective teaching behaviors perceived by students. …”
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A Dual-Branch Deep Learning Framework Combining Xception and ResNet for Accurate Lung and Colon Cancer Detection by Chandrasekar Venkatachalam, Priyanka Shah

“…This research proposes a hybrid deep learning model combining the strengths of Xception and ResNet architectures. …”
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