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All Topic Review Biography
Topic Review
Shape-Informed Dimensional Reduction in Airfoil/Hydrofoil Modeling Approachs
Parametric models have been widely used in pertinent literature for reconstructing, modifying and representing a wide range of airfoil and/or hydrofoil profile geometries. Design spaces corresponding to these models can be exploited for modeling and profile-shape optimization under various performance criteria. Accuracy requirements, along with the need for modeling local features, often lead to high-dimensional design spaces that hinder the process of shape optimization and design through analysis.
  • 206
  • 28 Sep 2023
Topic Review
Stepping-Stone Intrusion Detection Resistant to Intruders’ Chaff-Perturbation
Using stepping-stone intrusion (SSI), the intruder’s identity is very difficult to discover as it is concealed by a long interactive connection chain of hosts. An effective approach for SSI detection (SSID) is to determine how many connections are contained in a connection chain. 
  • 246
  • 28 Sep 2023
Topic Review
IoT Environment Using a Blockchain-Based Local-Global Consensus Manager
The Internet of Things (IoT) refers to the network of interconnected devices that can communicate and share data over the Internet. The widespread adoption of smart devices within Internet of Things (IoT) networks poses considerable security challenges for their communication. To address these issues, blockchain technology, known for its decentralized and distributed nature, offers potential solutions within consensus-based authentication in IoT networks.
  • 197
  • 28 Sep 2023
Topic Review
Deep Learning Models in Prostate Cancer Diagnosis
Prostate imaging refers to various techniques and procedures used to visualize the prostate gland for diagnostic and treatment purposes. Deep learning (DL) architectures have shown promising effectiveness and relative efficiency in prostate cancer (PCa) diagnosis due to their ability to analyze complex patterns and extract features from medical imaging data.
  • 217
  • 27 Sep 2023
Topic Review
Agricultural Image Segmentation
The Segment Anything Model (SAM) is a versatile image segmentation model that enables zero-shot segmentation of various objects in any image using prompts, including bounding boxes, points, texts, and more. However, studies have shown that the SAM performs poorly in agricultural tasks like crop disease segmentation and pest segmentation. To address this issue, the agricultural SAM adapter (ASA) is proposed, which incorporates agricultural domain expertise into the segmentation model through a simple but effective adapter technique.
  • 224
  • 27 Sep 2023
Topic Review
Requirements of Edge Machine Learning
The union of Edge Computing (EC) and Artificial Intelligence (AI) has brought forward the Edge AI concept to provide intelligent solutions close to the end-user environment, for privacy preservation, low latency to real-time performance, and resource optimization. 
  • 198
  • 27 Sep 2023
Topic Review
Path Planning for Agricultural Ground Robots
Ground robots have been developed for a variety of agricultural applications, with autonomous and safe navigation being one of the most difficult hurdles in this development. When a mobile platform moves autonomously, it must perform a variety of tasks, including localization, route planning, motion control, and mapping, which is a critical stage in autonomous operations. 
  • 267
  • 26 Sep 2023
Topic Review
Fruit and Vegetable Harvesting Robots
Intelligent agriculture imposes higher requirements on the recognition and localization of fruit and vegetable picking robots. Due to its unique visual information and relatively low hardware cost, machine vision is widely applied in the recognition and localization of fruit and vegetable picking robots.  Visual sensors are used to acquire image information and the three-dimensional positioning of targets. Machine vision algorithms are used for target recognition. Common algorithms include image segmentation, object detection, and three-dimensional reconstruction. Image segmentation algorithms can segment target objects in complex scenes, object detection algorithms can timely detect target objects and other interferences in images, while three-dimensional reconstruction algorithms can convert the two-dimensional image information obtained by the camera into three-dimensional spatial information of the target.
  • 389
  • 26 Sep 2023
Topic Review
Hyperledger Fabric
Hyperledger Fabric is a distributed ledger platform for developing applications with modular architecture. Support for pluggable consensus protocols is one of the platforms most distinguished features.
  • 271
  • 26 Sep 2023
Topic Review
Green Artificial Intelligence and Digitalization Facilitate
Green AI (Artificial Intelligence) and digitalization facilitate the “Dual-Carbon” goal of low-carbon, high-quality economic development. Green AI is moving from “cloud” to “edge” devices like TinyML, which supports devices from cameras to wearables, offering low-power IoT computing. 
  • 258
  • 26 Sep 2023
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