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Topic Review
Fake News Detection on Social Media
The spread of fake news on social media continues to be one of the main challenges facing internet users, prohibiting them from discerning authentic from fabricated pieces of information. Detecting fake news is a problem tackled through different approaches that can be categorized mainly into a content-based approach and a social-based approach. In the content-based approach, the textual features are the main features, whereas in the social-based approach other features, including users’ engagements, users’ profile features, and network propagation features, are considered.
  • 694
  • 27 Dec 2023
Topic Review
Greylisting (Email)
Greylisting is a method of defending e-mail users against spam. A mail transfer agent (MTA) using greylisting will "temporarily reject" any email from a sender it does not recognize. If the mail is legitimate, the originating server will try again after a delay, and if sufficient time has elapsed, the email will be accepted.
  • 692
  • 01 Nov 2022
Topic Review
Spatial and Temporal Hierarchy for Autonomous Navigation
Robust evidence suggests that humans explore their environment using a combination of topological landmarks and coarse-grained path integration. This approach relies on identifiable environmental features (topological landmarks) in tandem with estimations of distance and direction (coarse-grained path integration) to construct cognitive maps of the surroundings. This cognitive map is believed to exhibit a hierarchical structure, allowing efficient planning when solving complex navigation tasks.
  • 692
  • 29 Jan 2024
Topic Review
NextDet with Attentive Feature Aggregation
NextDet, built upon YOLOv5 object detection framework for efficient monocular sparse-to-dense streaming perception, is specially designed for autonomous vehicles and autonomous rovers using edge devices. NextDet is faster, lighter and can perform both, sparse and dense object detection efficiently.
  • 691
  • 30 Aug 2023
Topic Review
Deep Learning in Medical Imaging Segmentation
Deep learning algorithms were applied to serve the purpose as a diagnostic tool and applied to Computed Tomography (CT) scan images of the ovarian region. The images went through a series of pre-processing techniques and, further, the tumour was segmented using the UNet model. The instances were then classified into two categories—benign and malignant tumours. 
  • 689
  • 04 Aug 2023
Topic Review
Solar Energy Generation Prediction
Energy, or more specifically electricity, is one of the most significant pillars of society. Solar Photovoltaic energy has emerged as the most flourishing source of power generation. Not only is it a clean and renewable energy, but it is also economically accessible with minimal maintenance. Nevertheless, they have the disadvantage of high dependence on climatic factors, significant variability and high cost of energy storage. Hence, forecasting the generation of Photovoltaic (PV) installations for a given period of time can help to make optimal use of resources, allowing for reduced emissions, lower costs, safe operation and better integration into the grid.
  • 689
  • 30 Nov 2023
Topic Review
CovC-ReDRNet
Since the COVID-19 pandemic outbreak, over 760 million confirmed cases and over 6.8 million deaths have been reported globally, according to the World Health Organization. While the SARS-CoV-2 virus carried by COVID-19 patients can be identified though the reverse transcription–polymerase chain reaction (RT-PCR) test with high accuracy, clinical misdiagnosis between COVID-19 and pneumonia patients remains a challenge. Therefore, researchers developed a novel CovC-ReDRNet model to distinguish COVID-19 patients from pneumonia patients as well as normal cases. ResNet-18 was introduced as the backbone model and tailored for the feature representation afterward.
  • 688
  • 10 Jul 2023
Topic Review
Sign-Language Detection
Sign language is the most commonly used form of communication for persons with disabilities who have hearing or speech difficulties. However, persons without hearing impairment cannot understand these signs in many cases. As a consequence, persons with disabilities experience difficulties while expressing their emotions or needs. Thus, a sign character detection and text generation system is necessary to mitigate this issue.
  • 687
  • 25 Oct 2023
Topic Review
Different AI-Based Algorithms for COVID-19 Vaccine Development
Millions of people have died because of the COVID-19 epidemic, and economies have been severely damaged. The creation of a secure and reliable vaccination is essential to stopping the virus’s spread and preserving human life. Artificial intelligence (AI) has shown great promise as a tool for streamlining the process and improving vaccination efficacy in the field of vaccine development. Artificial intelligence (AI) is the application of computer algorithms to tasks that normally require human intelligence, such as pattern recognition, learning, and decision making. AI can be used in vaccine development to evaluate large datasets, identify potential vaccine targets, and forecast the efficacy of vaccine candidates.
  • 687
  • 09 Jan 2024
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. 
  • 686
  • 27 Sep 2023
Topic Review
Construction Method of Knowledge Graph for Image Recognition
With the continuous development of artificial intelligence technology and the exponential growth in the number of images, image detection and recognition technology is becoming more widely used. Image knowledge management is extremely urgent. The data source of a knowledge graph is not only the text and structured data but also the visual or auditory data such as images, video, and audio.
  • 685
  • 16 Oct 2023
Topic Review
Vision-Based Flying Obstacle Detection for Avoiding Midair Collisions
See and avoid is a basic procedure that pilots must learn and apply during flight. Various technologies have been introduced to avoid midair collisions, but accidents still occur because they are neither mandatory in all airspaces nor suitable for all aircraft.
  • 684
  • 26 Oct 2023
Topic Review
Machine Learning and Eye-Tracking Technology in ASD
Early and objective autism spectrum disorder (ASD) assessment, as well as early intervention are particularly important and may have long term benefits in the lives of ASD people. ASD assessment relies on subjective rather on objective criteria, whereas advances in research point to up-to-date procedures for early ASD assessment comprising eye-tracking technology, machine learning, as well as other assessment tools. This systematic review, the first to our knowledge of its kind, provides a comprehensive discussion of 30 studies irrespective of the stimuli/tasks and dataset used, the algorithms applied, the eye-tracking tools utilised and their goals. Evidence indicates that the combination of machine learning and eye-tracking technology could be considered a promising tool in autism research regarding early and objective diagnosis.
  • 683
  • 14 Dec 2021
Topic Review
Park Supplementary Review System
When planning a travel or an adventure, sightseers increasingly rely on opinions posted on the Internet tourism related websites, such as TripAdvisor, Booking.com or Expedia. Unfortunately, beautiful, yet less-known places and rarely visited sightspots often do not accumulate sufficient number of valuable opinions on such websites. An approach is developed  consisting of a system (PSRS) for wildlife sightspots and propose a method for verifying collected geotagged tweets and using them as on-spot reviews. 
  • 682
  • 07 Mar 2022
Topic Review
Stereo Disparity Estimation for Mobile Robots
Stereo cameras allow mobile robots to perceive depth in their surroundings by capturing two separate images from slightly different perspectives. This is necessary for tasks such as obstacle avoidance, navigation, and spatial mapping.
  • 680
  • 16 Oct 2023
Topic Review
Use of Self-Supervised Learning against DDoS Attacks
The Internet of Things (IoT), projected to exceed 30 billion active device connections globally by 2025, presents an expansive attack surface. The frequent collection and dissemination of confidential data on these devices exposes them to significant security risks, including user information theft and denial-of-service attacks.
  • 680
  • 24 Nov 2023
Topic Review
Classification of Tumor in Brain Magnetic Resonance Images
Brain tumors can cause serious health complications and lead to death if not detected accurately. Therefore, early-stage detection of brain tumors and accurate classification of types of brain tumors play a major role in diagnosis. Timely detection, diagnosis, and classification of brain tumors have been instrumental in effective treatment planning for the recovery and life extension of the patient. Brain tumor detection is a procedure to differentiate the abnormal tissues for example active tumor tissue, edema tissue from normal tissues for example gray matter, white matter.
  • 679
  • 02 Apr 2024
Topic Review
CondenseNeXtV2
CondenseNeXtV2 is inspired by and is an improvement over CondenseNeXt convolutional neural network (CNN). The primary goal of CondenseNeXtV2 CNN is to further improve performance and top-1 accuracy of the network. 
  • 678
  • 30 Aug 2023
Topic Review
Orientation Detection Mechanism Based on Artificial Visual System
As an important part of the nervous system, the human visual system can provide visual perception for humans. The research on it is of great significance to improve our understanding of biological vision and the human brain. Orientation detection, in which visual cortex neurons respond only to linear stimuli in specific orientations, is an important driving force in computer vision and biological vision. However, the principle of orientation detection is still unknown. 
  • 677
  • 18 Jan 2022
Topic Review
Shaped-Charge Learning Architecture for the Human–Machine Teams
In spite of great progress in recent years, deep learning (DNN) and transformers have strong limitations for supporting human–machine teams due to a lack of explainability, information on what exactly was generalized, and machinery to be integrated with various reasoning techniques, and weak defense against possible adversarial attacks of opponent team members.
  • 676
  • 30 Jun 2023
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