Magnetoencephalographic source localization and reconstruction via deep learning by Stefano Franceschini, Michele Ambrosanio, Maria Maddalena Autorino, Sohail Maqsood, Fabio Baselice

“…The proposed approach, termed “Deep-MEG,” employs a hybrid neural network architecture capable of extracting both temporal and spatial information from signals captured by MEG sensors. The algorithm is capable to handling the entire brain and, therefore, is not limited to cortical sources imaging. …”
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A New Parameter-Free Slope Unit Division Method That Integrates Terrain Factors by Ping Li, Junfu Fan, Yujie Du, Kuan Li, Yuke Zhou

“…This eliminates the issue of manually setting parameter thresholds during the slope unit division process. This algorithm fully utilizes the terrain information provided by digital elevation models (DEMs) to accurately calculate the curvature, slope, and aspect data for each point. …”
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Three-Dimensional Curved Workflow-Based Optical Coherence Tomography Angiography for Enhancing Atopic Dermatitis Theranostics by Junwei Li, Yunrui Zhang, Ying Huang, Ronghui Li, Kun Wang, Dongbei Guo, Zicheng Huang, Youliang Yao, Yunxin Xue, Guibo Sun, Cheng Jiang, Leyun Wang, Chenzhong Li, Qingliang Zhao

“…To address this issue, we propose a high-fidelity 3D curved processing workflow that integrates an artificial neural network (ANN) with a 3D denoising algorithm based on the curvelet transform and optimal orientation flow (OOF). …”
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In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

“…Machine learning (ML) is an artificial intelligence (AI) tool that automatically processes huge amounts of image data. Immunotherapies have revolutionized the treatment of blood cancer. …”
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Experimental and Theoretical Study of the Axial Distribution of Solid Phase Particles in a Fluidized Bed by A. V. Mitrofanov, V. E. Mizonov, N. S. Shpeynova, S. V. Vasilevich, N. K. Kasatkina

“…The algorithm involved splitting the image by height into separate rectangular areas, identifying the particles and counting their number in each of these areas. …”
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Leveraging SARs and Advanced Deep Learning Techniques for Oil Spill Detection in UAE by M. Alkhalifa, A. Alowais, A. Manousakis, A. Manousakis

“…To create the dataset, we utilized Sentinel-1 Synthetic Aperture Radar (SAR) images that were pre-processed using SNAP for training and SNAPPY in Python for testing. …”
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High-Accuracy Intermittent Strabismus Screening via Wearable Eye-Tracking and AI-Enhanced Ocular Feature Analysis by Zihe Zhao, Hongbei Meng, Shangru Li, Shengbo Wang, Jiaqi Wang, Shuo Gao

“…To satisfy this need, this work showcases a novel strabismus screening method based on a wearable eye-tracking device combined with an artificial intelligence (AI) algorithm. To identify the minor and occasional inconsistencies in strabismus patients during the binocular coordination process, which are usually seen in early-stage patients and rarely recognized in current studies, the system captures temporally and spatially continuous high-definition infrared images of the eye during wide-angle continuous motion, and is effective in inducing intermittent strabismus. …”
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AI-Driven Particulate Matter Estimation Using Urban CCTV: A Comparative Analysis Under Various Experimental Conditions by Woochul Choi, Hongki Sung, Kyusoo Chong

“…It conducted a comparative analysis of PM estimation effects under diverse experimental conditions based on AI image recognition. It also fills a gap by providing an optimal analysis framework that comprehensively considers the combination of variables, including the sun’s position, day and night settings, and the PM distribution per class. …”
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Modeling cultural ecosystem services (Case study: Recreational Ecosystem Services in Behbahan county) by Fatemeh Mohammadyari, Hamid Reza Pourkhabbaz, Shabnam Gholami Chaleshtari

“…The image was prepared with the maximum Likelihood algorithm in 12 class. …”
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Metabolic, Microvascular, and Structural Predictors of Long-Term Functional Changes Evaluated by Multifocal Electroretinogram in Type 1 Diabetes by Mariacristina Parravano, Serena Fragiotta, Eliana Costanzo, Fabiana Picconi, Paola Giorno, Daniele De Geronimo, Daniela Giannini, Monica Varano, Vincenzo Parisi, Lucia Ziccardi

“…To calculate cone metrics on AO at the parafovea, including cone density (CD), linear dispersion index (LDi), and heterogeneity packing index (Hpi%) in the parafovea, the images were post-processed using a MATLAB algorithm. …”
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Feature Generation-Based Fingerprint Liveness Detection: A Novel Multimodal Approach by B. R. Rajakumar, S. Amala Shanthi

“…To further effectuate the detection process, an Adaptive Focal Loss (AFL) is proposed in this paper. …”
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Automated interpretation of influenza hemagglutination inhibition (HAI) assays: Is plate tilting necessary? by Garrett Wilson, Zhiping Ye, Hang Xie, Steven Vahl, Erica Dawson, Kathy Rowlen

“…In this work, we tested the hypothesis that an automated image analysis algorithm can be used to achieve an accurate and non-subjective interpretation of HAI assays-specifically without the need to tilt plates. …”
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Measurements and Characterization for Millimeter-Wave Massive MIMO Channel in High-Speed Railway Station Environment at 28 GHz by Shuangde Li, Yuanjian Liu, Leke Lin, Qi Sun

“…And they are processed by using the K-mean algorithm. In addition, propagation characteristics are simulated based on the improved ray tracing method of shooting and bouncing ray tracing/image (SBR/IM). …”
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Efficient black-box attack with surrogate models and multiple universal adversarial perturbations by Tao Ma, Hong Zhao, Ling Tang, Mingsheng Xue, Jing Liu

“…We evaluated SMPack against eight popular attack algorithms: OnePixel, SimBA, FNS, GA, SFGSM, SPGD, FGSM, and PGD, using four publicly available datasets: MNIST, SVHN, CIFAR-10, and ImageNet. …”
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Automated epidermal thickness quantification of in vitro human skin equivalents using optical coherence tomography by Martina M Sanchez, Danielle N Orneles, B Hyle Park, Joshua T Morgan

“…The techniques presented here demonstrate the use of OCT imaging to track HSE epidermal thickness over 8 weeks of culture and improve upon previous processing of OCT images by presenting algorithms that automatically quantify epidermal thickness. …”
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Characterization and Stability Analysis of Rock Mass Discontinuities in Layered Slopes: A Case Study from Fushun West Open-Pit Mine by Ming Li, Zhanguo Xiu, Jianhua Han, Fanzhen Meng, Feili Wang, Hongguang Ji

“…After the noise reduction processing of the generated rock slope model, the orientation and dominant grouping of the rock mass discontinuities were calculated by the KNN (K-nearest neighbor) search and the PCA (principal component analysis) algorithms, and the calculated results are calibrated with manual measurements in the local slope area. …”
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A Framework for Segmentation and Classification of Cervical Cells Under Long-tailed Distribution by YANG Xiao na, LI Chao wei, SHAO Hui li, HE Yong jun

“…Currently, there are two challenges in identifying abnormal cervical cells using deep learning: (1) cervical cells are diverse and cervical cell images vary from person to person. (2 ) Cervical cells show long-tailed distribution, which affects the classification accuracy of cervical cells. …”
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An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System by Hong-Min Zhu, Chi-Man Pun

“…By incorporating the failure recovery and template matching in the tracking process, the target hand is tracked by an adaptive superpixel based tracking algorithm, where the problem of hand deformation, view-dependent appearance invariance, fast motion, and background confusion can be well handled to extract the correct hand motion trajectory. …”
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Advanced clustering and transfer learning based approach for rice leaf disease segmentation and classification by Samia Nawaz Yousafzai, Fahd N. Al-Wesabi, Hadeel Alsolai, Shouki A. Ebad, Inzamam Mashood Nasir, Emad Fadhal, Adel Thaljaoui

“…In light of such drawbacks, this article introduces an improved deep learning and transfer learning method for diagnosing and categorizing rice leaf diseases proficiently. First, all input images are preprocessed; the images are resized to a fixed size before applying a sophisticated contrast enhanced adaptive histogram equalization procedure. …”
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Radiosensory diagnostics of signal integrity in-circuit and peripheral architecture of microprocessor devices by K. A. Boikov, M. S. Kostin, G. V. Kulikov

“…It was found that the spectral-time frames of the software and hardware functioning of the digital device under study are clearly identified on the recorded radio images.…”
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