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1. Aerial Object Detection for Water-Based Search & Rescue

Author

Mulcahy, Eoghan, Van de Ven, Pepijn, Nelson, John, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Longo, Luca, editor, and O’Reilly, Ruairi, editor

Published
2023
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2. Multimodal Brain Tumor Segmentation Using Modified UNet Architecture

Author

Singh, Gaurav, Phophalia, Ashish, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Crimi, Alessandro, editor, and Bakas, Spyridon, editor

Published
2022
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4. Simple and Fast Convolutional Neural Network Applied to Median Cross Sections for Predicting the Presence of MGMT Promoter Methylation in FLAIR MRI Scans

Author

Chen, Daniel Tianming, Chen, Allen Tianle, Wang, Haiyan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Crimi, Alessandro, editor, and Bakas, Spyridon, editor

Published
2022
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6. Robustness of Image-Based Malware Analysis

Author

Tran, Katrina, Di Troia, Fabio, Stamp, Mark, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Bathen, Luis, editor, Saldamli, Gokay, editor, Sun, Xiaoyan, editor, Austin, Thomas H., editor, and Nelson, Alex J., editor

Published
2022
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7. Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments

Author

Thakur, Siddhesh P., Pati, Sarthak, Panchumarthy, Ravi, Karkada, Deepthi, Wu, Junwen, Kurtaev, Dmitry, Sako, Chiharu, Shah, Prashant, Bakas, Spyridon, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Crimi, Alessandro, editor, and Bakas, Spyridon, editor

Published
2022
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8. Automatic and Accurate Detection of Webshell Based on Convolutional Neural Network

Author

Lv, Zhuo-Hang, Yan, Han-Bing, Mei, Rui, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Yun, Xiaochun, editor, Wen, Weiping, editor, Lang, Bo, editor, Yan, Hanbing, editor, Ding, Li, editor, Li, Jia, editor, and Zhou, Yu, editor

Published
2019
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9. A New Reconfigurable Architecture with Applications to IoT and Mobile Computing

Author

Gharehbaghi, Amir Masoud, Maruoka, Tomohiro, Fujita, Masahiro, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Pras, Aiko, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Furbach, Ulrich, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Strous, Leon, editor, and Cerf, Vinton G., editor

Published
2019
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10. Visual and Camera Sensors.

Author

Park, Kang Ryoung, Kim, Euntai, Lee, Sangyoun, and Park, Kang Ryoung

Subjects
Information technology industries, 3D point clouds, BIM, CNN, DLT, DeblurGAN, DoF-dependent, Hough-space, OCD4M, PnP, VSLAM-photogrammetric algorithm, accuracy analysis, artificial intelligence, automatic online calibration, autonomous landing, blur image restoration, camera calibration, camera networks, classification, close range photogrammetry, computer vision, computer-aided diagnosis, convolutional auto-encoders, convolutional filter, convolutional neural network, covariance, deep-learning-based motion deblurring and marker detection, distortion partition, drone, ensemble learning, facial expression recognition system, flying object detection, image processing, in vivo endoscopy, lens distortion, local image patch, low-cost device, machine learning, multi-scale featured local binary pattern, multi-sensor fusion, multimodal human recognition, network slimming, open-pit mine slope monitoring, optimum deployment, pathological site classification, plank recognition, point pair feature, portable mobile mapping system, pruning model, robotic grasping, robustness, self-assembly device, semi-direct SLAM, side-rear-view monitoring system, three-dimensional reconstruction, uncertainty, unmanned aerial vehicle, unsharp masking, vision measurement, visual-inertial, weighted DLT
Abstract

Summary: This book includes 13 papers published in Special Issue ("Visual and Camera Sensors") of the journal Sensors. The goal of this Special Issue was to invite high-quality, state-of-the-art research papers dealing with challenging issues in visual and camera sensors.

11. Situation Awareness for Smart Distribution Systems.

Author

Ge, Leijiao, Ge, Leijiao, Sun, Yonghui, Wang, Zhongguan, and Yan, Jun

Subjects
History of engineering & technology, Technology: general issues, CNN, DC series arc fault, LSTM neural network, REDD dataset, TraceBase dataset, Wasserstein distance, attention mechanism, attentional mechanism, capacity configuration, carbon emission, climate factors, community integrated energy system, comprehensive framework, conditional value-at-risk, convolutional neural network, correlation analysis, critical technology, denoising auto-encoder, distributionally robust optimization (DRO), electric heating, electric vehicle, energy management, high-quality operation and maintenance, inertia security region, integrated energy system (IES), joint chance constraints, lightweight convolutional neural network, linear decision rules (LDRs), load disaggregation, load forecasting, machine learning, multi-objective optimization, n/a, photovoltaic (PV) system, power spectrum estimation, power-to-hydrogen, receding horizon optimization, secondary equipment, short text classification, short-term load forecasting, situation awareness, smart distribution network, storage, sustainable wind-PV-hydrogen-storage microgrid, temporal convolutional network, thermal comfort, user dominated demand side response, wind-photovoltaic-thermal power system
Abstract

Summary: In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed generation, energy storage and new energy generation not only reduces the power supply pressure of distribution network to a certain extent but also brings new consumption pressure and load impact. Situation awareness is a technology based on the overall dynamic insight of environment and covering perception, understanding, and prediction. Such means have been widely used in security, intelligence, justice, intelligent transportation, and other fields and gradually become the research direction of digitization and informatization in the future. We hope this Special Issue represents a useful contribution. We present 10 interesting papers that cover a wide range of topics all focused on problems and solutions related to situation awareness for smart distribution systems. We sincerely hope the papers included in this Special Issue will inspire more researchers to further develop situation awareness for smart distribution systems. We strongly believe that there is a need for more work to be carried out, and we hope this issue provides a useful open-access platform for the dissemination of new ideas.

12. Image and Video Processing and Recognition Based on Artificial Intelligence.

Author

Park, Kang Ryoung, Kim, Euntai, Lee, Sangyoun, and Park, Kang Ryoung

Subjects
Technology: general issues, GC-LSTM model, HKPolyU-DB, K-nearest neighbors, Krawtchouk polynomials, Marr wavelets, RANSAC, SDUMLA-HMT-DB, Tchebichef polynomials, action recognition, active learning, armature, artificial image generation, artificial intelligence, autoencoders, bag of deep features, binarized statistical image features, biometrics, body orientation, bounding box regression, brain computer interface, building extraction, camera position, channel interaction, character recognition, common spatial patterns, computer vision, continuous wavelet transform, convolutional neural network, convolutional neural networks, crowd counting, cycle-consistent adversarial networks, data augmentation, deep convolutional neural networks, deep learning, depth map, domain adaptation, edges to photos, emotion recognition, entropy and response, epidermis, face image analysis, face parsing, face recognition, facial attributes classification, fast approximation, feature distillation, finger position, finger-vein recognition, fully convolutional networks, generative adversarial net, generative adversarial network, generative adversarial network (GAN), generative models, global context, graph matching, guidance, helicopter footage, heterogeneous database, high-resolution remote sensing image, homotopy iterative hard thresholding, image de-raining, image processing, image pyramid, image-to-image conversion, infrared circumferential scanning system, joint attention, label to photos, lighting, local context, loss function, malignant thyroid nodule, mask R-CNN, medical image fusion, monocular depth estimation, multi resolution network, multi-person, multi-scale decomposition, multi-task, multitask learning, normalized cross-correlation, object recognition, optimization, orthogonal moments, orthogonal polynomials, pathology, pose estimation, prediction system, presentation attack detection, presentation attack face images, remote sensing, residual network, satellite image, semantic segmentation, semi-supervised learning, single-sample face recognition, skin, social robotics, sparse coding, super-resolution, support vector machine, surface defect detection, surface inspection, target recognition, transfer learning, typhoon, ultrasound image, unobserved database, vehicle recognition, weighted binary cross-entropy loss
Abstract

Summary: This book includes 23 published papers on Special issues of "Image and Video Processing and Recognition Based on Artificial Intelligence" in the journal Sensors. The purpose of this Special Issue was to invite high-quality and state-of-the-art academic papers on challenging issues in the field of AI-based image and video processing and recognition.

13. Human Health Engineering Volume II.

Author

Aerts, Jean Marie and Aerts, Jean Marie

Subjects
Technology: general issues, APS, Electrocardiogram (ECG), Individual verification, Interval based LDA, Monte-Carlo method (MMC), UE-FMA, Vater-Pacini corpuscles, anorexia nervosa, automated assessment, biometrics, body posture, clinical evaluation, closed-loop insulin pump, convolutional neural network, deep learning, driving fatigue, driving phobia, efficient estimator, electrodermal activity, electroencephalography, electromyography sensors, feature extraction, frequency-domain analysis, gait analysis, haptic feedback, inkjet printing, local muscle vibration, low back pain, measurement uncertainty, n/a, nonlinear analysis, organizational model, physiological signal, piezo-fluid-structural coupled simulation, pinch force, plantar visualization, post-traumatic stress disorder, postural control, proprioceptors, pulling force, rehabilitation, remote fetal monitor, respiratory rate, response frequency, robotics, serious games, silver nanoparticles, slip onset, smoothness, standard deviation, strain gauge, stretchable and wearable sensors, stroke, stumbling, technological devices, time-domain analysis, upper limb impairment, upper limb rehabilitation, valveless micropump, vibratory stimulation device, virtual reality, virtual reality exposure therapy, wearable sensors
Abstract

Summary: In this Special Issue on "Human Health Engineering Volume II", we invited submissions exploring recent contributions to the field of human health engineering, i.e., technology for monitoring the physical or mental health status of individuals in a variety of applications. Contributions could focus on sensors, wearable hardware, algorithms, or integrated monitoring systems. We organized the different papers according to their contributions to the main parts of the monitoring and control engineering scheme applied to human health applications, namely papers focusing on measuring/sensing physiological variables, papers highlighting health-monitoring applications, and examples of control and process management applications for human health. In comparison to biomedical engineering, we envision that the field of human health engineering will also cover applications for healthy humans (e.g., sports, sleep, and stress), and thus not only contribute to the development of technology for curing patients or supporting chronically ill people, but also to more general disease prevention and optimization of human well-being.

14. Bioinformatics Applications Based On Machine Learning.

Author

Chamoso, Pablo, Chamoso, Pablo, González-Briones, Alfonso, Mohamad, Mohd, and Rodriguez, Sara

Subjects
Technology: general issues, Affective Computing, Arabidopsis thaliana, Artificial Neural Networks, CTX-M, Decision table, Harmony Search, Machine Learning, PART, Particle Swarm Optimization, Weka, bi-directional LSTM, bioinformatics, biological functions detection, classification, clinical data, clinical implications, cluster, computer vision, convolutional neural network, data mining, deep learning, derivative-free optimization, detection, diabetes, dynamic models, ear detection, epidemiology, evolutionary computation, evolutionary computing, feature selection, forecast, fuel cell, gene clustering, genetic programming, glycolysis, gradient boosting, hybrid systems, hydrogen energy, image recognition, informative genes, intelligent systems, machine learning, metabolism, metagenomics, metrics, mitochondrial protein, parameter estimation, personality assessment, plasmodium falciparum, power management, real-life patients, regression, swarm intelligence, transposable elements, video analysis, yeast
Abstract

Summary: The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems.

15. The 8th International Conference on Time Series and Forecasting.

Author

Rojas, Ignacio, Herrera, Luis, Kaufman, Peter, Pomares, Hector, Rojas, Fernando, Rojas, Ignacio, and Valenzuela, Olga

Subjects
Computer science, Information technology industries, : financial market volatility, ARIMA, CNN, COVID-19, DCCA method, K-Means, K-mean clustering, LSTM, Markov chain, NARNN, VAR-DCC-GARCH, accessibility, all sky images, anomaly detection, cloud-base height, clustering, convolutional neural network, cross-correlation, diagnosis, dynamic convergence, dynamic mode decomposition with control, ecosystem respiration, energy, error diagnosis, faults, forecasting, health forecasting, hydrological data, intensive care unit (ICU), longshort-term memory (LSTM), machine learning, machine learning (ML), machinelearning, mobile data traffic, model evaluation, multivariate prediction, non-stationary time series, oil derivatives, oil production, ordinal patterns, outlier detection, outlier detection in time series, prediction, prediction intervals, predictive maintenance, privacy, readmission prediction, recurrent neural network (RNN), retainability, seq2seq, shareable data, signal processing, spatial, spectrum, stationarity, structural breaks, synthetic data, temporal, time delay embedding, time series, time series analysis, time series cluster evaluation, time series clustering, time series data, time series forecasting, time-series, time-series forecasting, unit root, utilization, wavelet-based random forest, PV systems, automated machine learning
Abstract

Summary: The aim of ITISE 2022 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees. Therefore, ITISE 2022 is soliciting high-quality original research papers (including significant works-in-progress) on any aspect time series analysis and forecasting, in order to motivating the generation and use of new knowledge, computational techniques and methods on forecasting in a wide range of fields.

16. Smart Sensor Technologies for IoT.

Author

Brida, Peter, Brida, Peter, Kertesz, Attila, Krejcar, Ondrej, and Selamat, Ali

Subjects
Technology: general issues, 5G, ACR, Bluetooth, DRONET, Fast Reroute, GNSS-RTK positioning, H.264/AVC, H.265/HEVC, IMU, Internet of Things, Internet of Things (IoT), IoT, IoT system, MANET, Multicast Repair (M-REP), QoE, ReRoute, Velostat, WSN, Wi-Fi, Wi-Fi sensing, bit repair (B-REP), classification, clustering, convolutional neural network, data classification, dead reckoning, depth-based routing, detection, electromagnetic scanning, energy-efficient, failure repair, few-shot learning, fingerprinting, free space optics, human activity recognition, indoor tracking, internet of things (IoT), localization, location-independent, magnetometer, measurement, meta learning, metric learning, mm-wave radars, mobile localization, multilayered network model, multiwavelength laser, n/a, optical code division multiple access (OCDMA), optical sensors, particle filter, point cloud, position detection, positioning, pressure sensor, quality of service differentiation, smart sensor, smart sensors, subjective assessment, traffic, underwater wireless sensor network, vehicle, vibration sensing, wireless optical networks, wireless technology
Abstract

Summary: The recent development in wireless networks and devices has led to novel services that will utilize wireless communication on a new level. Much effort and resources have been dedicated to establishing new communication networks that will support machine-to-machine communication and the Internet of Things (IoT). In these systems, various smart and sensory devices are deployed and connected, enabling large amounts of data to be streamed. Smart services represent new trends in mobile services, i.e., a completely new spectrum of context-aware, personalized, and intelligent services and applications. A variety of existing services utilize information about the position of the user or mobile device. The position of mobile devices is often achieved using the Global Navigation Satellite System (GNSS) chips that are integrated into all modern mobile devices (smartphones). However, GNSS is not always a reliable source of position estimates due to multipath propagation and signal blockage. Moreover, integrating GNSS chips into all devices might have a negative impact on the battery life of future IoT applications. Therefore, alternative solutions to position estimation should be investigated and implemented in IoT applications. This Special Issue, "Smart Sensor Technologies for IoT" aims to report on some of the recent research efforts on this increasingly important topic. The twelve accepted papers in this issue cover various aspects of Smart Sensor Technologies for IoT.

18. Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography Based Heart Rate Estimation

Author

Premkumar, K. Smera, Angelopoulou, A., Kapetanios, E., Chaussalet, T., Hemanth, D. Jude, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Groen, Derek, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor

Published
2022
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