DART-Vetter: A Deep Learning Tool for Automatic Triage of Exoplanet Candidates by Stefano Fiscale, Laura Inno, Alessandra Rotundi, Angelo Ciaramella, Alessio Ferone, Christian Magliano, Luca Cacciapuoti, Veselin Kostov, Elisa V. Quintana, Giovanni Covone, Maria Teresa Muscari Tomajoli, Vito Saggese, Luca Tonietti, Antonio Vanzanella, Vincenzo Della Corte

“…To further improve the robustness of these models, it is necessary to exploit the complementarity of data collected from different transit surveys such as NASA’s Kepler, Transiting Exoplanet Survey Satellite (TESS), and, in the near future, the ESA Planetary Transits and Oscillation of stars mission. …”
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Protective Effects of Withania Somnifera Against Cisplatin-Induced Acute Kidney Injury in Rats: A Histomorphometric Analysis by Aaqiba Rasheed, Nadia Younus, Nausheen Jamshed, Lubna Faisal, Naureen Waseem, Rana Muhammad Zeeshan, Omar Shamim

“…However, no statistically significant differences in kidney weight were observed among the other groups (P>0.05). …”
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An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification by Cuiping Shi, Mengxiang Ding, Liguo Wang

“…Convolutional neural networks are extensively used in RSSC tasks, where convolution focuses more on the high-frequency components of the image. …”
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Cell-Type Annotation for scATAC-Seq Data by Integrating Chromatin Accessibility and Genome Sequence by Guo Wei, Long Wang, Yan Liu, Xiaohui Zhang

“…Cross-omics approaches, which rely on single-cell RNA sequencing (scRNA-seq) as a reference, often struggle with data alignment due to fundamental differences between transcriptional and chromatin accessibility modalities. …”
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TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification by Nelly Elsayed, Constantinos L. Zekios, Navid Asadizanjani, Zag ElSayed

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A Deep Neural Network Framework for Dynamic Two-Handed Indian Sign Language Recognition in Hearing and Speech-Impaired Communities by Vaidhya Govindharajalu Kaliyaperumal, Paavai Anand Gopalan

“…One may consider such as a connecting bridge for bridging communication gaps for the hearing- and speech-impaired, even though it remains as an advanced method for hand gesture expression along with identification through the various different unidentified signals to configure their palms. …”
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Salt and pepper denoising filters for digital images: A technical review by Kumar Abhishek, Kumar Sanjeev, Kar Asutosh

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Multi-Scale Feature Extraction with 3D Complex-Valued Network for PolSAR Image Classification by Nana Jiang, Wenbo Zhao, Jiao Guo, Qiang Zhao, Jubo Zhu

“…Extensive experiments on four benchmark datasets demonstrated that the proposed method outperforms various comparison methods, maintaining high classification accuracy across different sampling rates, thus validating its effectiveness and robustness.…”
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RDSF-Net: Residual Wavelet Mamba-Based Differential Completion and Spatio-Frequency Extraction Remote Sensing Change Detection Network by Shuo Wang, Dapeng Cheng, Genji Yuan, Jinjiang Li

“…Remote sensing change detection is a task of identifying and analyzing the area of surface change by comparing remote sensing images from different periods. It is widely used in many fields such as environmental monitoring, urban planning, and agricultural management. …”
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Optimization of energy acquisition system in smart grid based on artificial intelligence and digital twin technology by Zhen Jing, Qing Wang, Zhiru Chen, Tong Cao, Kun Zhang

“…The electricity needs of different users were met, and the difference between power allocation and optimal power allocation was small, which was very reasonable. …”
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Recent technological developments allow for passive acoustic monitoring of Orthoptera (grasshoppers and crickets) in research and conservation across a broad range of temporal and... by David Bennett, Henning Nissen, Marc Andre Maschke, Heinrich Reck, Tim Diekötter

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Unveiling the secrets of neural network scaling for ECG classification by Byeong Tak Lee, Joon-myoung Kwon, Yong-Yeon Jo

“…Finally, we explore why scaling hyperparameters affects ECG and computer vision differently. Our findings suggest that the inherent periodicity of the ECG signals plays a crucial role in this difference.…”
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Artificial Intelligence based Multi-sensor COVID-19 Screening Framework by Rakesh Chandra-Joshi, Malay Kishore-Dutta, Carlos M. Travieso

“…The deep learning model will extract the features from the input images and based on that test images will be classified into different categories. Similarly, cough sound and short talk can be trained on a convolutional neural network and after proper training, input voice samples can be differentiated into different categories. …”
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A Hybrid Deep Learning Framework for Deepfake Detection Using Temporal and Spatial Features by Fazeel Zafar, Talha Ahmed Khan, Salas Akbar, Muhammad Talha Ubaid, Sameena Javaid, Kushsairy Abdul Kadir

“…To enhance the model’s adaptability, to different scenarios and datasets we implement data augmentation techniques such as CutMix, MixUp and Random Erasing. …”
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Analysis of Deep Learning Techniques for Vehicle Detection and Reidentification Using Data from Multiple Drones and Public Datasets by FELIPE P.A. EUPHRÁSIO, RAFAEL M. DE ANDRADE, ELCIO H. SHIGUEMORI, LIANGRID L. SILVA, MOISÉS JOSÉ S. FREITAS, NATHAN AUGUSTO Z. XAVIER, ARGEMIRO S.S. SOBRINHO

“…Abstract The detection and re-identification of vehicles in dynamic environments, such as highways monitored by a swarm of drones, presents significant challenges, particularly due to the variability of images captured from different angles and under various conditions. This scenario necessitates the development of suitable methods that integrate appropriate computational techniques, such as convolutional neural networks (CNN) to address the diversity of drone captures and improve accuracy in detection and re-identification. …”
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Comparison of classical, xgboost and neural network methods for parameter estimation in epidemic processes on random graphs by Ágnes Backhausz, Edit Bognár, Villő Csiszár, Damján Tárkányi, András Zempléni

“…Since we model the underlying social network by flexible two-layer random graphs, we can also study how the structural difference between the graphs in the training set and the test set influences the error of the estimate. …”
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Identification of Eye Diseases Through Deep Learning by Elena Acevedo, Dinora Orantes, Marco Acevedo, Ricardo Carreño

“…The Canny filter was also applied to obtain the edges that allow the difference between the analyzed diseases. Once the images were pre-processed, a convolutional neural network of our own design was applied to perform the classification task. …”
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Research on Identification Method of Transformer Windings’ Loose Vibration Spectrum Considering a Multi-Load Current Condition by Jin Fang, Xudong Deng, Yuancan Xia, Chen Wu, Yuehua Li, Xin Li, Kaixin Chen, Fan Wang, Zhanlong Zhang

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Dynamic Gesture Recognition and Interaction of Monocular Camera Based on Deep Learning by SUNBo wen, YU Feng

“…In the front and back movement of gestures, the area of different gestures is compensated for and adjusted by the size of gesture images, so as to reduce the interference caused by the area changes caused by different gestures.…”
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Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

“…However, one of the challenges of automatic seizure detection using EEG analysis is extracting optimal features that can distinguish between different states of epilepsy. To address this issue, this research proposes a new approach for automatically identifying epileptic seizures using a deep convolutional network. …”
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