A Novel Labeling Method for Radar Pulse Data With Complex Modulations and Parametric Overlaps by Youtan Wei, Yang Shen

“…Therefore, two improvements based on DPMM are proposed: adding a pre-clustering step to improve the outlier adaptation and distributed inference to improve the federated learning capability. …”
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Exploring potential methylation markers for ovarian cancer from cervical scraping samples by Ju-Yin Lien, Lu Ann Hii, Po-Hsuan Su, Lin-Yu Chen, Kuo-Chang Wen, Hung-Cheng Lai, Yu-Chao Wang

“…The two-step model achieved an accuracy of 0.88 and an F1-score of 0.86 on the testing data. …”
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SHAP Informed Neural Network by Jarrod Graham, Victor S. Sheng

“…Methods evaluated include exponential annealing, step decay, and SHAP-informed adjustments across three datasets: Breast Cancer, Diabetes, and California Housing. …”
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NursingXR: Advancing Nursing Education Through Virtual Reality-Based Training by Mohammad F. Obeid, Ahmed Ewais, Mohammad R. Asia

“…The platform has a modular design and offers two interactive modes: Training Mode, which provides step-by-step guided instruction, and Evaluation Mode, which allows for independent performance assessment. …”
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An Automated Wavelet Scattering Network Classification Using Three Stages of Cataract Disease by Enas Hamood Al-Saadi, Ahmed Nidhal Khdiar, Lamis Hamood Al-Saadi

“…The purpose of this paper is to propose an automated system based on the wavelet scattering network which categorizes the patients into four classes:  early cataract, intermediate cataract, late cataract, and non-cataract conditions using 512 images of the ODIR dataset (212 Cataract and 300 of Normal). The first step in this technique is the preprocessing step for the retinal image was a mean filter, which was utilized to reduce the image's noise. …”
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UAV-Enabled Inspection System With No-Fly Zones: DRL-Based Joint Mobile Nest Scheduling and UAV Trajectory Design by Jin Dai, Yunfei Gao, Chao Cai, Wei Xiong, Manjia Liu

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Representações cognitivas e cartográficas: algumas proposições metodológicas by Colette Cauvin

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Cognitive and cartographic representations: towards a comprehensive approach by Colette Cauvin

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Speaker Identification and Verification Using Convolutional Neural Network CNN by Azhar S. Abdulaziz, Akram Dawood, Amar Daood

“…The model’s outputs are then used to control the verification process as a next step. When the verification result is positive, the first process outcome is approved with high confidence. …”
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Water pollution and water quality assessment and application of criterion impact loss (CILOS), geographical information system (GIS), artificial neural network (ANN) and decision-l... by Abhijeet Das

“…In this context, the immediate steps to restore and improve the water quality are to control the downstream in compliance with regional spatial planning requirements, followed by a conservation movement, and to alter people's behaviour to be more considerate of environmental management for catchment areas. …”
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Segmentation of pores in carbon fiber reinforced polymers using the U-Net convolutional neural network by Miroslav Yosifov, Patrick Weinberger, Bernhard Plank, Bernhard Fröhler, Markus Hoeglinger, Johann Kastner, Christoph Heinzl

“… This study demonstrates the utilization of deep learning techniques for binary semantic segmentation of pores in carbon fiber reinforced polymers (CFRP) using X-ray computed tomography (XCT) datasets. …”
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Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time by Uttara U. Khatri, Kristen Pulliam, Muskan Manesiya, Melanie Vieyra Cortez, José del R. Millán, Sara J. Hussain

“…Personalized brain state-dependent approaches specifically designed to address these challenges are needed. Methods: As a first step towards this goal, we tested a novel machine learning-based EEG-TMS system that identifies personalized brain activity patterns reflecting strong and weak corticospinal tract (CST) activation (strong and weak CST states) in healthy adults in real-time. …”
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On Combining Deep Neural Network Classifiers for Source Device Identification by Ioannis Tsingalis, Constantine Kotropoulos

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Classification of Teleseismic Shear Wave Splitting Measurements: A Convolutional Neural Network Approach by Yanwei Zhang, Stephen S. Gao

“…In order to obtain reliable splitting measurements, an essential step is to visually verify all the measurements to reject problematic measurements, a task that is increasingly time consuming due to the exponential increase in the amount of data. …”
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BERT Mutation: Deep Transformer Model for Masked Uniform Mutation in Genetic Programming by Eliad Shem-Tov, Moshe Sipper, Achiya Elyasaf

“…This work represents a pivotal step toward integrating state-of-the-art deep learning into evolutionary algorithms, pushing the boundaries of adaptive optimization in GP.…”
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Researching the landscape of predictive emissions monitoring system: a review of literature and technology trends by Fanxing Wang, Yu Pang, Ling Bai, Marc Godin

“…PEMS leverages equation, statistical learning and machine learning to predict emissions in real-time, reducing capital costs by 50% and operational costs by 90% while minimizing maintenance and safety risks and ensuring continuous data availability compared to traditional hardware-based solutions. …”
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Smartphone System for Heart Rate and Breathing Rate Estimation by Amit Nayak, Miodrag Bolic

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Computer-vision based automatic rider helmet violation detection and vehicle identification in Indian smart city scenarios using NVIDIA TAO toolkit and YOLOv8 by Uttam U. Deshpande, Goh Kah Ong Michael, Sufola Das Chagas Silva Araujo, Vaidehi Deshpande, Rudragoud Patil, Ramchandra Alias Ameet Chate, Varun R. Tandur, Supreet S. Goudar, Shreya Ingale, Vaishnavi Charantimath

“…We propose a two-step deep learning approach that leverages the strengths of pre-trained object detection models to detect two-wheeler riders and specialized helmet classifiers to identify helmet wear status as well as detect number plates. …”
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Elite Episode Replay Memory for Polyphonic Piano Fingering Estimation by Ananda Phan Iman, Chang Wook Ahn

“…Building on their finding, this paper addresses the more complex polyphonic fingering problem by formulating it as an online model-free reinforcement learning task with a novel training strategy. Thus, we introduce a novel Elite Episode Replay (EER) method to improve learning efficiency by prioritizing high-quality episodes during training. …”
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Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding by Yuya Kawamura, Satoshi Takabe

“…In this paper, we propose two novel trainable algorithms based on SVGD: deep-unfolded SVGD (DUSVGD) and Chebyshev-step based DUSVGD (C-DUSVGD). DUSVGD incorporates a deep-learning technique called deep unfolding into SVGD by embedding trainable parameters. …”
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