An efficient approach for diagnosing faults in photovoltaic array using 1D-CNN and feature selection Techniques by Yousif Mahmoud Ali, Lei Ding, Shiyao Qin

“…A simple and accurate one-dimensional convolutional neural network (1D-CNN) model is developed to classify the faults based on the selected features. …”
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Nondestructive egg freshness assessment using hyperspectral imaging and deep learning with distance correlation wavelength selection by Pauline Ong, Shih-Yen Chiu, I-Lin Tsai, Yen-Chou Kuan, Yu-Jen Wang, Yung-Kun Chuang

“…The selected wavelengths were incorporated into various regression models, namely convolutional neural network, gradient boosting trees, multiple linear regression, partial least squares regression, and support vector regression models. …”
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STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG by Raquel Fernández-Martín, Alfonso Gijón, Odile Feys, Elodie Juvené, Alec Aeby, Charline Urbain, Xavier De Tiège, Vincent Wens

“…Here, we developed and validated STIED, a simple yet powerful supervised DL algorithm combining two convolutional neural networks with temporal (1D time-course) and spatial (2D topography) features of MEG signals inspired from current clinical guidelines. …”
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Self-Healing Properties of Partially Coherent Schell-Model Beams by Gaofeng Wu, Xiaoyan Pang

“…Convolution expression for partially coherent beams that are partially blocked by an opaque obstacle is derived in detail in a paraxial <inline-formula><tex-math notation="LaTeX">$ABCD$</tex-math></inline-formula> optical system. …”
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Ventricle Boundary in CT: Partial Volume Effect and Local Thresholds by Ihar Volkau, Fiftarina Puspitasari, Wieslaw L. Nowinski

“…We present a mathematical frame to carry out segmentation of cerebrospinal fluid (CSF) of ventricular region in computed tomography (CT) images in the presence of partial volume effect (PVE). First, the image histogram is fitted using the Gaussian mixture model (GMM). …”
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Intelligent recognition algorithm and application of coal mine overhead passenger device based on multiscale feature fusion by Beijing XIE, Heng LI, Hang DONG, Zheng LUAN, Ben ZHANG, Xiaoxu LI

“…In the feature extraction stage, the partial convolution of the backbone network C2f module is replaced by deformable convolution, and a novel C2f_DCN module is designed. …”
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A Method of Simplified Synthetic Objects Creation for Detection of Underwater Objects from Remote Sensing Data Using YOLO Networks by Daniel Klukowski, Jacek Lubczonek, Pawel Adamski

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Develop an emotion recognition system using jointly connectivity between electroencephalogram and electrocardiogram signals by Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, Ali Sheikhani

“…Leveraging three EC estimation techniques (Granger causality (GC), partial directed coherence (PDC) and directed transfer function (DTF)), we feed the resulting EC representations as inputs into convolutional neural networks (CNNs), namely ResNet-18 and MobileNetV2, known for their swift and superior performance. …”
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Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal by Dongyang Zhao, Guoyong Su, Pengyu Wang

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Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach by Sujan Ghimire, Ravinesh C. Deo, Konstantin Hopf, Hangyue Liu, David Casillas-Pérez, Andreas Helwig, Salvin S. Prasad, Jorge Pérez-Aracil, Prabal Datta Barua, Sancho Salcedo-Sanz

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On the Question of the Applicability of Artificial Intelligence Systems to Forensic Examination of Documents and Their Requisites by A. F. Kupin, A. S. Kovalenko

“…The procedure and principles of operation of convolutional neural networks are described and, using their example, the results that can be achieved during forensic handwriting and technical forensic examinations of documents, as well as studies conducted within the framework of forensic expert activities, in particular, the identification of signs of technical forgery of documents (installation, erasure, additions, finishing) are indicated, establishing the facts of the execution of several signatures or handwritten records by one or different performers, establishing the original content of the records, fragments of which have been partially lost or distorted. …”
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Empirical Evaluation and Analysis of YOLO Models in Smart Transportation by Lan Anh Nguyen, Manh Dat Tran, Yongseok Son

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A Novel Lightweight Framework for Non-Contact Broiler Face Identification in Intensive Farming by Bin Gao, Yongmin Guo, Pengshen Zheng, Kaisi Yang, Changxi Chen

“…The Inception-F module employs a dynamic multi-branch design to enhance multi-scale feature extraction, while the C2f-Faster module leverages partial convolution to reduce computational redundancy and parameter count. …”
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SCiMA: A Systolic CiM-Based Accelerator With a New Weight Mapping for CNNs&#x2014;A Virtual Framework Approach by Rezgar Sadeghi, Zainalabedin Navabi

“…Efficient execution of deep convolutional neural networks (DCNNs) on von Neumann platforms has significantly encountered the memory wall. …”
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Enhancing Malignant Lymph Node Detection in Ultrasound Imaging: A Comparison Between the Artificial Intelligence Accuracy, Dice Similarity Coefficient and Intersection over Union by Iulian-Alexandru Taciuc, Mihai Dumitru, Andreea Marinescu, Crenguta Serboiu, Gabriela Musat, Mirela Gherghe, Adrian Costache, Daniela Vrinceanu

“…Specifically, we aimed to develop a convolutional neural network (CNN) capable of detecting suspicious malignant lymph nodes and assess its effectiveness using both conventional and IoU-based performance metrics. …”
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A novel pansharpening method based on cross stage partial network and transformer by Yingxia Chen, Huiqi Liu, Faming Fang

“…Abstract In remote sensing image fusion, the conventional Convolutional Neural Networks (CNNs) extract local features of the image through layered convolution, which is limited by the receptive field and struggles to capture global features. …”
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Method for Augmenting Side-Scan Sonar Seafloor Sediment Image Dataset Based on BCEL1-CBAM-INGAN by Haixing Xia, Yang Cui, Shaohua Jin, Gang Bian, Wei Zhang, Chengyang Peng

“…In this paper, a method for augmenting samples of side-scan sonar seafloor sediment images based on CBAM-BCEL1-INGAN is proposed, aiming to address the difficulties in acquiring and labeling datasets, as well as the insufficient diversity and quantity of data samples. Firstly, a Convolutional Block Attention Module (CBAM) is integrated into the residual blocks of the INGAN generator to enhance the learning of specific attributes and improve the quality of the generated images. …”
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Solution of Nonlinear Partial Differential Equations by New Laplace Variational Iteration Method by Eman M. A. Hilal, Tarig M. Elzaki

“…This method is based on the variational iteration method, Laplace transforms, and convolution integral, introducing an alternative Laplace correction functional and expressing the integral as a convolution. …”
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Application of Partial Differential Equation Image Classification Methods to the Aesthetic Evaluation of Images by Feifeng Liu, Weihu Wang

“…Based on the introduction of the partial differential equation image filtering method, through the parallel supervised learning of aesthetic attribute labels, this paper extracts the global aesthetic depth features, adopts the partial differential equation to evolve the contour C constant, and constructs a convolution neural network. …”
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Partial feature reparameterization and shallow-level interaction for remote sensing object detection by Minh Tai Pham Nguyen, Quoc Duy Nam Nguyen, Hoang Viet Anh Le, Minh Khue Phan Tran, Tadashi Nakano, Thi Hong Tran

“…Firstly, an extraction block is proposed called PRepConvBlock that leverages reparameterization convolution and partial feature utilization to effectively reduce the complexity in convolution operations, allowing for the utilization of larger kernel sizes in order to form the longer interactions between features and significantly expand receptive fields. …”
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