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Automation and Robots for Disaster Response
Cloud Security Using Fine-Grained Efficient Information Flow Tracking
Future Internet, Vol. 16, Pages 110: Cloud Security Using Fine-Grained Efficient Information Flow Tracking
Future Internet doi: 10.3390/fi16040110
Authors:
Fahad Alqahtani
Mohammed Almutairi
Frederick T. Sheldon
This study…
MOLM: Alleviating Congestion through Multi-Objective Simulated Annealing-Based Load Balancing…
1. IntroductionSatellite internet, as a communication network with extensive coverage and high flexibility, is gradually becoming a crucial means of global connectivity. However, due to its unique communication characteristics and…
A Method for Mapping V2X Communication Requirements to Highly Automated and Autonomous Vehicle…
1. IntroductionV2X (Vehicle-to-Everything) technology has long been discussed as a key element of autonomous mobility. It is anticipated that by end of the 2020s, all new commercial vehicles will be equipped with the technology to aid…
Influence of VF and SOR-Filtering Methods on Tree Height Inversion Using Unmanned Aerial Vehicle…
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Optimizing Hybrid V2X Communication: An Intelligent Technology Selection Algorithm Using 5G, C-V2X…
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Research on Service Function Chain Embedding and Migration Algorithm for UAV IoT
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Ground Effect on the Thrust Performance of Staggered Rotor System
1. IntroductionIn recent years, the swift advancement of distributed electric propulsion technology and advancements in flight control have propelled the growth of eVTOLs equipped with multi-rotor systems, thereby opening new avenues…
A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
Offline RL has been extensively applied to multirotor UAVs. The literature review reveals 42 papers that focus on 13 different tasks, which include trajectory tracking, landing, navigation, formation control, flight control, and…
Estimating Total Length of Partially Submerged Crocodylians from Drone Imagery
3.1. Drone-Captured Pictures Allow Precise Target Length MeasurementWe generally found that the drone-based measurements are very accurate. Flight height (20, 30 and 40 m) resulting in slight differences of image resolution (0.51, 0.76…
Modeling of the Flight Performance of a Plasma-Propelled Drone: Limitations and Prospects
3.1. Available Thrust and Thrust-to-Power RatioBased on the earlier discussion, a variety of conclusions can be drawn. First, the technology is moving towards a maximum thrust of 150 to 200 mN
·
m
−
1
with a thrust-to-power…
UAV-Based Wetland Monitoring: Multispectral and Lidar Fusion with Random Forest Classification
1. IntroductionCoastal wetlands and associated habitats provide many environmental services and economic benefits to coastal communities, including carbon sequestration, protection from storm surges and other erosive forces, and…
UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial…
1. IntroductionReinforcement learning (RL) , a subset of machine learning, is predicated on the interaction between intelligent agents and their environments to facilitate decision making. This method has seen considerable advancements…
Factors Affecting Trust and Acceptance for Blockchain Adoption in Digital Payment Systems: A…
The need to enhance the current payment system with blockchain technology is found to be revolutionary. However, it is imperative to understand the factors that can lead to the successful adoption of blockchain technology in the digital…
Single Image Super Resolution Using Deep Residual Learning
Appendix AThe TensorFlow code that creates, trains, and tests the model is listed here:####################################### Importing the Libraries ########################################import numpy as npimport tensorflow as …
Hybrid Encryption for Securing and Tracking Goods Delivery by Multipurpose Unmanned Aerial Vehicles…
%---------------------------------------------% README%---------------------------------------------% This is file “Test.m” used to test the proposed approach.% The proposed approach is a framework that does not depend on a specific…
Global Navigation Satellite Systems Signal Vulnerabilities in Unmanned Aerial Vehicle Operations:…
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Ran Yosef on Generative AI chatbots for CXtoday – The Chatbot
Chatbots Reimagined: Crafting Exceptional Conversations with Generative AIPicture this: a world where every customer interaction is met with understanding, precision, and a touch of human-like warmth. Well, it’s kind of the reality we’re…
Harmonized Skies: A Survey on Drone Acceptance across Europe
4.1. AttitudeMean values indicate that at the beginning of the questionnaire, attitudes toward drones ranged from moderate to positive across all countries (see Figure 1). The most positive attitude was observed in Poland and the most…
Impact of Drone Battery Recharging Policy on Overall Carbon Emissions: The Traveling Salesman…
The number of studies on the TSP-D in literature is rapidly growing. The earlier works investigated the synchronization of a truck and a drone. As these studies indicated the efficiency of drone deployment in delivery, further studies…
Using Computer Vision to Collect Information on Cycling and Hiking Trails Users
This section presents a performance comparison between the most promising models identified above. Thus, YOLOv3-Tiny, MobileNet-SSD V2, and FasterRCNN with ResNet-50 models will be evaluated for detecting pedestrians, cyclists, or other…
UAV Photogrammetric Surveys for Tree Height Estimation
1. IntroductionPrecision agriculture (PA) is defined as a particular agricultural management strategy based on the observations, measurements, and responses of a set of quantitative and qualitative variables affecting agricultural…
The Sound of Surveillance: Enhancing Machine Learning-Driven Drone Detection with Advanced Acoustic…
3.2. Drone Class Classification without AugmentationTo establish a baseline for drone sound classification, four distinct classifiers were trained without data augmentation techniques under seemingly identical conditions. Despite using…
Improved YOLOv7 Target Detection Algorithm Based on UAV Aerial Photography
1. IntroductionIn recent years, the application of UAV remote sensing in various fields has become more and more extensive. For example, UAV remote sensing has outstanding performance in scenarios such as battlefield inspection,…
Modeling, Guidance, and Robust Cooperative Control of Two Quadrotors Carrying a…
Appendix A. Proof of Theorem 1The UDE estimation error is defined as
f
˜
i
ξ
=
f
i
ξ
−
f
^
i
ξ
.
(A1)
By combining (48), (51), and (A1), the UDE estimation error can be expressed in the frequency domain as
F
˜…
Cancer Detection Using a New Hybrid Method Based on Pattern Recognition in MicroRNAs Combining…
1. IntroductionIn the contemporary era, the role of information technology is pivotal and beneficial across various facets of human life. A fundamental human need is the provision of optimal and efficient medical diagnostics and…
Intelligent Resource Orchestration for 5G Edge Infrastructures
1. IntroductionThe evolution of 5G technology has ushered in a new era of connectivity, offering enhanced capabilities that extend beyond traditional communication paradigms. Advanced 5G networks facilitate a diverse range of…
DataRobot to Accelerate Enterprise-Ready AI Solutions with NVIDIA
March 18, 2024 – BOSTON, MA – DataRobot, the leading AI platform at the forefront of value-driven AI innovation, today announced that its enterprise-ready AI solutions will be supercharged with NVIDIA technology to offer…
Unlocking the quantum future
Quantum computing is the next frontier for faster and more powerful computing technologies. It has the potential to better optimize routes for shipping and delivery, speed up battery development for electric…
Automated Detection of Train Drivers’ Head Movements: A Proof-of-Concept Study
1. IntroductionIn recent decades, the railway sector has seen an increase in automation and digitisation. These advances in automation are most noticeable in the introduction of grades of automation (GoA) level 2 systems. This means…
Edge and Fog Computing for the Internet of Things
1. IntroductionOver the last years few years, the number of interconnected devices within the context of Internet of Things (IoT) has rapidly grown; some statistics state that the total number of IoT-connected devices in 2023 has…
UP-SDCG: A Method of Sensitive Data Classification for Collaborative Edge Computing in Financial…
1. IntroductionWith the advent of the big data era, data have been recognized as essential production factors. To promote the data factor market, ensuring data security is a fundamental requirement. In this context, sensitive data…
AI-Generated Text Detector for Arabic Language Using Encoder-Based Transformer Architecture
5.1. Large Dataset vs. Custom Dataset Content VariationWhen the models were applied to the two datasets, the performance disparities between the two models can be attributed to various factors. First, the large dataset content of AIGT…
Design of Pseudo-Command Restricted Controller for Tailless Unmanned Aerial Vehicles Based on…
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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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Design, Modeling, and Control of a Composite Tilt-Rotor Unmanned Aerial Vehicle
Drones, Vol. 8, Pages 102: Design, Modeling, and Control of a Composite Tilt-Rotor Unmanned Aerial Vehicle
Drones doi: 10.3390/drones8030102
Authors:
Zhuang Liang
Li Fan
Guangwei Wen
Zhixiong Xu
Tilt-rotor unmanned aerial…
Linked Open Government Data: Still a Viable Option for Sharing and Integrating Public Data?
1. IntroductionOpen Government Data (OGD), traditionally sourced from governments, encompass public records in areas like transportation, infrastructure, education, health, and the environment . These data are intended to be reused and…
Efficient and Secure Distributed Data Storage and Retrieval Using Interplanetary File System and…
1. IntroductionIn the digital information age, the exponential growth in data volume has posed significant challenges in terms of efficiency and scalability. Indeed, traditional centralized data storage and retrieval systems act as a…
Envisioning a time when people age without fear of dementia
The mathematician and computer scientist Richard Hamming once gave a talk about doing great research. “He who works with the door open gets all kinds of interruptions, but he also occasionally gets clues as to…
DataRobot’s Response to the EU AI Act
The European Parliament’s vote of support for the EU AI Act marks a watershed in the rapid evolution of AI technology. The EU AI Act establishes the regulatory standard for AI, transforming how organizations globally build,…
Unmanned Aircraft Systems in Road Assessment: A Novel Approach to the Pavement Condition Index and…
1. IntroductionUnmanned Aircraft Systems (UAS or drones) have become present in many industries in the field for their low cost of operation compared to traditional tools and their ability to simplify tasks without compromising quality…
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.…