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Automation and Robots for Disaster Response
Neural Network-Based Classifier for Collision Classification and Identification for a 3-DOF…
In this section, the experimental work conducted to design, train, test, and validate the PR-NN is shown in the first subsection. The second subsection shows the results of the processes conducted in the first subsection. 3.1.…
Detection of Forged Images Using a Combination of Passive Methods Based on Neural Networks
1. IntroductionFake news, the dissemination of false information via social networks, has become a pervasive issue in today’s digital landscape. Such misinformation has the potential to deceive and garner more attention than factual…
Toward Virtual Testing of Unmanned Aerial Spraying Systems Operating in Vineyards
Drones, Vol. 8, Pages 98: Toward Virtual Testing of Unmanned Aerial Spraying Systems Operating in Vineyards
Drones doi: 10.3390/drones8030098
Authors:
Manuel Carreño Carreño Ruiz
Nicoletta Bloise
Giorgio Guglieri
Domenic…
Machine Learning Approaches for Predicting Risk of Cardiometabolic Disease among University Students
2. Literature ReviewMany studies in the literature have utilized machine learning techniques for forecasting the risk of obesity/overweight and the associated health conditions.In a prior work, based on the number of easily accessible…
Generalized Labeled Multi-Bernoulli Filter-Based Passive Localization and Tracking of Radiation…
1. IntroductionThe goal of passive localization and tracking is to continuously or periodically localize the target or radiation source without the active participation of the target or radiation source, thus obtaining the motion…
Species-Level Classification of Peatland Vegetation Using Ultra-High-Resolution UAV Imagery
Figure 1.
UAV surveying at Auchencorth Moss. Shown in (a) is the custom-built Tarot T680 Pro (Wenzhou Tarot Aviation Technology Co., Wenzhou, China) and mounted Parrot Sequoia camera positioned over a spectral calibration panel (photo…
‘Baby AGI’ could be a reality in early 2025: SingularityNET founder – SingularityNET
The “complete toolset” to making the precursor to a fully functioning Artificial General Intelligence might be only about a year away, says Ben Goertzel.
The post ‘Baby AGI’ could be a reality in early 2025: SingularityNET founder…
Artificial Superintelligence Could Arrive by 2027, Scientist Predicts – SingularityNET
We may not have reached artificial general intelligence (AGI) yet, but as one of the leading experts in the theoretical field claims, it may get here sooner rather than later.
The post Artificial Superintelligence Could Arrive by 2027,…
Deep Deterministic Policy Gradient (DDPG) Agent-Based Sliding Mode Control for Quadrotor Attitudes
1. IntroductionAs an unmanned flight platform, a quadrotor UAV has the advantages of a simple structure, lightweight fuselage, and low cost. It is widely used in various tasks such as cargo transportation, aerial photography,…
Proposal of a Service Model for Blockchain-Based Security Tokens
This section proposes a service model for blockchain-based security tokens to facilitate investment in tokenized tangible and intangible assets.The proposed service model is partially similar to the existing cryptocurrency service model.…
Personalized Federated Learning with Adaptive Feature Extraction and Category Prediction in Non-IID…
Future Internet, Vol. 16, Pages 95: Personalized Federated Learning with Adaptive Feature Extraction and Category Prediction in Non-IID Datasets
Future Internet doi: 10.3390/fi16030095
Authors:
Ying-Hsun Lai
Shin-Yeh Chen
Wen-Chi…
Towards mmWave Altimetry for UAS: Exploring the Potential of 77 GHz Automotive Radars
The maximum range of an FMCW radar is a function of the IF BW, as well as the SNR available at the receiver. Despite a beat frequency being in the range of the IF filter BW, if the SNR is below the requisite threshold, the requisite…
The Distribution and Accessibility of Elements of Tourism in Historic and Cultural Cities
1. IntroductionHistoric districts are the center of social development, urban structure, culture, and cultural heritage . The Washington Charter (International Council of Monuments and Sites, ICOMOS) defines historic districts as…
IMBA: IoT-Mist Bat-Inspired Algorithm for Optimising Resource Allocation in IoT Networks
1. IntroductionThe advent of the Internet of Things (IoT) has reshaped the way we interact with the world around us. By seamlessly connecting sensors, actuators, and humans, IoT networks have transformed many industries, enabling…
User Experience, Functionality and Aesthetics Evaluation in an Academic Multi-Site Web Ecosystem
1. IntroductionThe generation and dissemination of content related to the research and educational activities of an academic institution on the World Wide Web is an involved process that requires a large amount of both digital and…
Dynamic Industrial Optimization: A Framework Integrates Online Machine Learning for Processing…
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School of Computer Engineering & Science, Shanghai University , Shanghai 200444,…
Quantity Monitor Based on Differential Weighing Sensors for Storage Tank of Agricultural UAV
1. IntroductionIn recent years, unmanned aerial vehicles (UAVs) have developed significantly in agricultural production, including application such as scenarios spraying pesticides and herbicides, spreading fertilizers, seeding, and…
Hybrid Mode: Routinization of the Transition Mode as the Third Common Mode for Compound VTOL Drones
1. IntroductionDrones have generated a great deal of interest in recent years in both the military and civilian sectors because of their enormous potential for applications in reconnaissance, photography, transportation, rescue, and…
Implementing Internet of Things Service Platforms with Network Function Virtualization Serverless…
1. IntroductionThe Internet of Things (IoT) is a network model that refers to the connection of everyday objects to the Internet. These devices can be smartphones, wearables, cameras, home appliances and drones. IoT devices can serve…
Method rapidly verifies that a robot will avoid collisions
Before a robot can grab dishes off a shelf to set the table, it must ensure its gripper and arm won’t crash into anything and potentially shatter the fine china. As part of its motion planning process, a robot…
Assessment of the Health Status of Old Trees of Platycladus orientalis L. Using UAV Multispectral…
1. IntroductionOld trees hold great significance as living cultural relics, serving as invaluable historical, cultural, scientific, and ecological resources. They are keystone structures in forests, woodlands, savannas, agricultural…
Few-Shot Fine-Grained Image Classification: A Comprehensive Review
3.3.2. Metric-Based Class Representation LearningMany techniques have been put forward for effective metric-based class representations, which can be broadly divided into five categories: feature distribution, attention mechanism,…
An Advanced Path Planning and UAV Relay System: Enhancing Connectivity in Rural Environments
Future Internet, Vol. 16, Pages 89: An Advanced Path Planning and UAV Relay System: Enhancing Connectivity in Rural Environments
Future Internet doi: 10.3390/fi16030089
Authors:
Mostafa El Debeiki
Saba Al-Rubaye
Adolfo Perrusquía…
Multi-Level Hazard Detection Using a UAV-Mounted Multi-Sensor for Levee Inspection
3.1. SensorsThe equipment consists of a Global Navigation Satellite System (GNSS) positioning and orientation system, a LiDAR system, and the FLIR VUE Pro R thermal infrared camera . This configuration can acquire high-precision,…
Research of Slamming Load Characteristics during Trans-Media Aircraft Entry into Water
The object-in-water problem has a background of wide ranging engineering applications and significance to important scientific research, such as for unmanned underwater vehicles (UUV) launching into the water, underwater reconnaissance…
Enhancing Supervised Model Performance in Credit Risk Classification Using Sampling Strategies and…
The average confusion matrices for 4-fold cross-validation results are illustrated in Figure 9a–d. The performance metrics for logistic regression, random forest, and gradient boosting are shown in Table 4, Table 5, and Table 6,…
Advanced Techniques for Geospatial Referencing in Online Media Repositories
1. IntroductionIn the digital transformation era, video media libraries have emerged as vast data repositories holding immense potential yet are largely untapped due to their non-machine-readable nature . This limitation poses a…
Dragon_Pi: IoT Side-Channel Power Data Intrusion Detection Dataset and Unsupervised Convolutional…
1. IntroductionThe Internet of Things (IoT) has become a cornerstone of modern networks. the IoT, a term synonymous with the interconnectivity of “Things”, has led to internet-facing devices flooding the markets in recent years, with a…
Yield Prediction Using NDVI Values from GreenSeeker and MicaSense Cameras at Different Stages of…
Author ContributionsConceptualization, S.Z. and I.M.K.; methodology, G.M.; software, G.K.; validation, L.B., V.V. and Z.V.; formal analysis, I.M.K.; investigation, S.Z.; resources, S.Z.; data curation, Z.V.; writing—original draft…
Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis
1. IntroductionIn an epoch marked by escalating urbanization and digital transformation, adeptly handling civic challenges emerges as a critical axis for the enduring well-being of communities. The burgeoning complexities of urban life…
Collision Avoidance Capabilities in High-Density Airspace Using the Universal Access Transceiver…
1. IntroductionIntegrating unmanned aerial systems (UASs) into the National Airspace System (NAS) is a crucial challenge of our time. This integration will enable the execution of numerous applications that are beneficial to society.…
Special Issue on Intelligent Image Processing and Sensing for Drones
1. IntroductionRecently, the use of drones or unmanned aerial vehicles (UAVs) for various purposes has been increasing . Drones can be remotely controlled or programmed to capture scenes from a distance. This capture method is…
Three Lincoln Laboratory inventions named IEEE Milestones
The Institute of Electrical and Electronics Engineers (IEEE) designated three historical MIT Lincoln Laboratory technologies as IEEE Milestones. The technologies are the Mode S air traffic control (ATC) radar…
Towards a Hybrid Security Framework for Phishing Awareness Education and Defense
1. IntroductionThe importance of phishing awareness to businesses and individuals is accentuated by the danger posed by increasingly deceptive Artificial Intelligence (AI)-powered phishing emails. Phishing emails may use fake social…
Reducing Oscillations for Obstacle Avoidance in a Dense Environment Using Deep Reinforcement…
1. IntroductionDue to their high flexibility, quadrotor unmanned aerial vehicles (QUAVs) have gained significant popularity in various applications, including parcel delivery , precision agriculture , search and rescue , and…
Dealing with the limitations of our noisy world
Tamara Broderick first set foot on MIT’s campus when she was a high school student, as a participant in the inaugural Women’s Technology Program. The monthlong summer academic experience gives young women a…
Eight from MIT named 2024 Sloan Research Fellows
Eight members of the MIT faculty are among 126 early-career researchers honored with 2024 Sloan Research Fellowships by the Alfred P. Sloan Foundation. Representing the departments of Chemistry, Electrical…
Multi-Level Split Federated Learning for Large-Scale AIoT System Based on Smart Cities
1. IntroductionWith the acceleration of urbanization, smart cities are proposed to utilize various artificial intelligence (AI) technologies or urban infrastructure to integrate artificial intelligence Internet of Things (AIoT)…
SoK: Analysis Techniques for WebAssembly
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Department of Computer Science, Norwegian University of Science and Technology, 7034 Trondheim,…
Security Threats and Promising Solutions Arising from the Intersection of AI and IoT: A Study of…
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A Synergistic Elixir-EDA-MQTT Framework for Advanced Smart Transportation Systems
1. Introduction 1.1. BackgroundWith the rapid development of Internet of Things (IoT), an exponentially increasing number of smart devices are being connected, generating massive amounts of real-time data that need to be processed…
Edge-Enhanced TempoFuseNet: A Two-Stream Framework for Intelligent Multiclass Video Anomaly…
1. IntroductionIn the era of 5G and IoT, video surveillance is a critical component of modern security and monitoring strategies. This surveillance relies on advanced camera technology to observe and analyze diverse environments and…
PVswin-YOLOv8s: UAV-Based Pedestrian and Vehicle Detection for Traffic Management in Smart Cities…
In smart cities, computer vision has gained popularity as a means of reducing traffic congestion and averting accidents in intelligent transportation systems (ITS) . Congestion develops as traffic volume rises, which lowers object speeds…
Emotion Analytics: Advanced Technology to Enhance User Engagement – The Chatbot
An emotion is created with the interaction of culture, neural networks, bodily sensations, and past experiences, a significant factor that affects human behavior. And emotion analytics is the process of extracting and identifying human…
A Transferable Deep Learning Framework for Improving the Accuracy of Internet of Things Intrusion…
1. IntroductionThe rapid innovation in Internet of Things (IoT) technology has accelerated data-driven strategies, harnessing vast volumes of data originating from a tremendous number of IoT devices in various domains, including digital…
Joint Incentive Mechanism Design and Energy-Efficient Resource Allocation for Federated Learning in…
1. IntroductionWith the deployment of the Internet of Things (IoT) in more fields, there is an increasing number of connected devices working together to jointly serve various applications. These devices have sensing and computing…
Exploring the Potential of Remote Sensing to Facilitate Integrated Weed Management in Smallholder…
Mbulisi Sibanda received his B.A. (Hons.) degree in geography in 2006, an M.Phil. degree in in 2011,
Mbulisi Sibanda received his B.A. (Hons.) degree in geography in 2006, an M.Phil. degree in geography in 2011, and a Ph.D. degree in…
Multiple-Target Matching Algorithm for SAR and Visible Light Image Data Captured by Multiple…
The overall multi-target association scheme proposed in this paper is illustrated in Figure 2 for two UAVs denoted as UAV 1 and UAV 2. In detail, the scheme is mainly composed of five components, including image enhancement modules and…
A Multi-Head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data
1. IntroductionPredicting corporate bankruptcy is one of the most fundamental tasks in credit risk assessment. Especially after the 2007/2008 financial crisis, it has become a top priority for most financial institutions, fund…
Deterministic K-Identification for Future Communication Networks: The Binary Symmetric Channel…
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permission is required to reuse all or part of the article published by MDPI, including figures and tables. For
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