Fault Detection and Behavior Analysis of Wheelset Bearing Using Adaptive Convolutional Sparse Coding Technique Combined with Bandwidth Optimization by Liu He, Cai Yi, Jianhui Lin, Andy C.C. Tan

“…Wheelset bearing is a critical and easily damaged component of a high-speed train. Wheelset bearing fault diagnosis is of great significance to ensure safe operation of high-speed trains and realize intelligent operation and maintenance. …”
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GENETIC DIVERSITY INVESTIGATION AND MOLECULAR MARKERS ESTABLISHMENT FOR IDENTIFICATION OF SEVERAL INITIALLY SELECTIVE AVOCADO (Persea americana Miller) STRAINS IN LAMDONG PROVINCE by Lê Ngọc Triệu, Nguyễn Hoàng Phong, Mai Tiến Đạt, Thái Thạch Bích, Nguyễn Thanh Tiền, Lê Đình Vĩnh Bảo, Nguyễn Khắc Quang, Phan Ngọc Quỳnh Như

“…Morphologically and genetically investigation and estimation are necessary for train/cultivar identification and breeding in many crops. …”
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Validation of the New Algorithm for Rain Rate Retrieval from AMSR2 Data Using TMI Rain Rate Product by Elizaveta Zabolotskikh, Bertrand Chapron

“…AMSR2 brightness temperature differences at C- and X-band channels are then used as inputs to train a neural network (NN) function for RR retrieval. …”
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Tinnitus Suppression with Electrical Stimulation at the Most Basal Contact of the Cochlear Implant Electrode as a Model for Round Window Stimulation by Kiana Kheirkhah, Valerie Van Kelecom, Marc Leblans, Joost van Dinther, Glynnis De Greve, Erwin Offeciers, Andrzej Zarowsk

“…Two types of stimulation were presented at the most basal CI contact: a constant pulse train and a modulated pulse train. The variation in pulse rates was low rate (100-300 pps) and high (≥900 pps), and the current level ranged from the C-level to less than the T-level for both stimulation types. …”
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Computer Vision-assisted Wireless Channel Simulation for Millimeter Wave Human Motion Recognition by Zhenyu REN, Chenqing JI, Chao YU, Wanli CHEN, Rui WANG

“…This study examines the channel simulation and action recognition results for four common human actions (“walking” “running” “falling” and “sitting down”) in the 60 GHz band. Experimental results indicate that the deep neural network trained with the simulated dataset achieves an average recognition accuracy of 73.0% in real-world wireless motion recognition. …”
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Adaptive CNN Ensemble for Complex Multispectral Image Analysis by Syed Muslim Jameel, Manzoor Ahmed Hashmani, Mobashar Rehman, Arif Budiman

“…The results have shown the effectiveness and proven the diversity of the proposed framework to adapt the new spectral band during online image classification. Moreover, the extensive training dataset, proper regularization, optimized hyperparameters (model and training), and more appropriate CNN architecture significantly contributed to retaining the performance accuracy.…”
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PCCN: Polarimetric Contexture Convolutional Network for PolSAR Image Super-Resolution by Lin-Yu Dai, Ming-Dian Li, Si-Wei Chen

“…The proposed PCCN method is trained with one <italic>X</italic>-band polarimetric and interferometric synthetic aperture radar (PiSAR) data, while evaluated with the same scene but different PiSAR imaging direction and with different sensors data including the <italic>C</italic>-band Radarsat-2 and the <italic>X</italic>-band COSMO-SkyMed of various imaging scenes. …”
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An Arctic sea ice concentration data record on a 6.25&thinsp;km polar stereographic grid from 3 years of Landsat-8 imagery by H.-S. Jung, S.-M. Lee, S.-M. Lee, J.-H. Kim, K. Lee

“…The normalized difference snow index and OLI band-5 reflectivity were used to differentiate between ice and open water within each selected Landsat-8 pixel. …”
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Boundary Extraction Based on Dual Stream Deep Learning Model in High Resolution Remote Sensing Images by Umut Aydar, Emin Özgür Avşar, Özgün Akçay, A. Cumhur Kınacı

“…Thus, by comparing the models trained based on different data combinations, the contribution of different input data to the success of boundary extraction was revealed. …”
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Field-scale detection of Bacterial Leaf Blight in rice based on UAV multispectral imaging and deep learning frameworks. by Guntaga Logavitool, Teerayut Horanont, Aakash Thapa, Kritchayan Intarat, Kanok-On Wuttiwong

“…The dataset is increased using data augmentation and patch extraction methods to improve training robustness. Our findings demonstrate that the U-Net model incorporating ResNet-101 backbone trained with multispectral+NDVI data significantly outperforms other band combinations, achieving high accuracy metrics, including mean Intersection over Union (mIoU) of up to 97.20%, mean accuracy of up to 99.42%, mean F1-score of up to 98.56%, mean Precision of 97.97%, and mean Recall of 99.16%. …”
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Investigating the Efficacy of an Individualized Alpha/Delta Neurofeedback Protocol in the Treatment of Chronic Tinnitus by Dominik Güntensperger, Christian Thüring, Tobias Kleinjung, Patrick Neff, Martin Meyer

“…The main outcome measures were tinnitus-related distress measured with the Tinnitus Handicap Inventory (THI) and Tinnitus Questionnaire (TQ), tinnitus loudness, and pre- and post-training resting-state EEG activity in trained frequency bands. …”
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Glow-Worms, Railroad-Worms (Insecta: Coleoptera: Phengodidae) by Marc Branham

“…Because these glowing spots along the females body resemble the windows of train cars internally illuminated in the night, they are often referred to as "railroad-worms." …”
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Glow-Worms, Railroad-Worms (Insecta: Coleoptera: Phengodidae) by Marc Branham

“…Because these glowing spots along the females body resemble the windows of train cars internally illuminated in the night, they are often referred to as "railroad-worms." …”
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Population Kinetics and Protein Profiles of Co-Cultured Adult and Fetus Rabbit Bladder Smooth Muscle Cells by Hayrunisa Kahraman Esen, Burcu Biltekin, Mevlit Korkmaz, B. Haluk Güvenç

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Metamaterial Embedded Wearable Rectangular Microstrip Patch Antenna by J. G. Joshi, Shyam S. Pattnaik, S. Devi

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Adolescent with Rhabdomyolysis due to Undiagnosed Hypothyroidism by Raquel Farias Moeller, Nassim Zecavati, Rosa Sherafat-Kazemzadeh, Shoshana Aleinikoff, Wolfgang Rennert

“…Exercise-induced rhabdomyolysis has been described in military recruits, trained athletes and daily runners. Statin use, quail ingestion, infection by Epstein-Barr virus (EBV), and hypothyroidism, though rare, are risk factors for the development of rhabdomyolysis. …”
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Advanced Techniques and Antenna Design for Pulse Shaping in UWB Cognitive Radio by Lise Safatly, Mohammed Al-Husseini, Ali El-Hajj, Karim Y. Kabalan

“…The Parks-McClellan algorithm is employed, a neural network is trained, and a reconfigurable band stop filter is designed to generate an adaptive waveform with nulls at specific frequencies. …”
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Feedback Artificial Shuffled Shepherd Optimization-Based Deep Maxout Network for Human Emotion Recognition Using EEG Signals by K. S. Bhanumathi, D. Jayadevappa, Satish Tunga

“…Based on the data augmented results, emotion recognition can be accomplished using the DMN, where the training process of the DMN is performed using the proposed FASSO method. …”
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Optimization Design of Phononic Crystals Based on BPNN-MPA in Applied Mathematical Analysis by Peiyun Ge

“…Traditional finite element analysis methods have the problem of expensive and unstable band structure diagram calculation when generating phononic crystals. …”
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Musical Sequence Learning and EEG Correlates of Audiomotor Processing by Matt D. Schalles, Jaime A. Pineda

“…Beta band power over sensorimotor scalp showed increased suppression for the learned song, a moderate level of suppression for the transposed song, and no suppression for the control song. …”
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