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Topic Review
Segmentation and Path Planning of Unmanned Ariel Vehicle
Unmanned aerial vehicles (UAVs), sometimes known as “drones”, are unmanned aircraft that can be flown without a pilot on board. Aircraft, ground control stations, and communications systems all fall under the umbrella term unmanned aircraft systems (UAS), which describes the infrastructure necessary for sophisticated drone operations. An autonomous drone is a UAV that can fly missions independently of a human pilot. It can take off, execute its task, and return to base without human assistance. Rather than relying on a human pilot, communications management software handles mission planning and flight control for autonomous drones.
  • 392
  • 15 Dec 2023
Topic Review
Enhancing Ensemble Learning Using CNN for Spoof Fingerprints
Convolutional Neural Networks (CNNs) have demonstrated remarkable success with great accuracy in classification problems. Using an ensemble of neural networks offers a simple yet effective measure to improve performance and robustness beyond that of a single network.
  • 392
  • 18 Jan 2024
Topic Review
Deep-Learning and Privacy Techniques for Data-Driven Soft Sensors
The continuously increasing number of mobile devices actively being used in the world amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial increase in the amount of personal data collected, transported, processed, and stored. An integrated personal health data management system was designed and implemented, which considers data-driven software and hardware sensors, comprehensive data privacy techniques, and machine-learning-based algorithmic models. 
  • 391
  • 13 Mar 2023
Topic Review
Siamese Neural Network for Keystroke Dynamics-Based Authentication
User-specific behavioral biometrics is widely used to increase login security. The usage of behavioral biometrics can support verification without bothering the user with a requirement of an additional interaction.
  • 391
  • 03 Nov 2023
Topic Review
Anomaly Detection in Electrocardiogram Sensor Data
Monitoring heart electrical activity is an effective way of detecting existing and developing conditions. This is usually performed as a non-invasive test using a network of up to 12 sensors (electrodes) on the chest and limbs to create an electrocardiogram (ECG). By visually observing these readings, experienced professionals can make accurate diagnoses and, if needed, request further testing. However, the training and experience needed to make accurate diagnoses are significant. 
  • 391
  • 01 Mar 2024
Topic Review
Semantically Interoperable Social Media Platforms
Competitive intelligence in social media analytics has significantly influenced behavioral finance worldwide in recent years; it is continuously emerging with a high growth rate of unpredicted variables per week. Several surveys in this large field have proved how social media involvement has made a trackless network using machine learning techniques through web applications and Android modes using interoperability.
  • 390
  • 19 Sep 2023
Topic Review
Authentication Methods for Mobile Device Users
With the advent of smart mobile devices, end users get used to transmitting and storing their individual privacy in them, which, however, has aroused prominent security concerns inevitably. Numerous researchers have primarily proposed to utilize motion sensors to explore implicit authentication techniques. 
  • 390
  • 14 Sep 2023
Topic Review
Algorithms for Histopathology Image Detection and Segmentation
Histopathology image analysis is considered as a gold standard for the early diagnosis of serious diseases such as cancer. The advancements in the field of computer-aided diagnosis (CAD) have led to the development of several algorithms for accurately segmenting histopathology images.
  • 390
  • 27 Nov 2023
Topic Review
Industrial Drying Hopper Operations
The advancement of Industry 4.0 and smart manufacturing has made a large amount of industrial process data attainable with the use of sensors installed on machines. This stands true for Industrial Dryer Hoppers, which are used for most polymer manufacturing processes. Insights derived via AI from the collected data allow for improved processes and operations.
  • 390
  • 15 Sep 2023
Topic Review
Deep Learning for Alzheimer’s Disease
Alzheimer’s and related diseases are significant health issues of this era. The interdisciplinary use of deep learning in this field has shown great promise and gathered considerable interest. 
  • 390
  • 25 Jun 2023
Topic Review
Personalized Advertising Design Based on Individual’s Appearance
Market segmentation is a crucial marketing strategy that involves identifying and defining distinct groups of buyers to target a company’s marketing efforts effectively. Visual elements, such as color and shape, in advertising can effectively communicate the product or service being promoted and influence consumer perceptions of its quality. Similarly, a person’s outward appearance plays a pivotal role in nonverbal communication, significantly impacting human social interactions and providing insights into individuals’ emotional states.
  • 386
  • 13 Sep 2023
Topic Review
Methods for Building Ensembles of Convolutional Neural Networks
In computer vision and image analysis, Convolutional Neural Networks (CNNs) and other deep-learning models are at the forefront of research and development. These advanced models have proven to be highly effective in tasks related to computer vision. One technique that has gained prominence in recent years is the construction of ensembles using deep CNNs. These ensembles typically involve combining multiple pretrained CNNs to create a more powerful and robust network.
  • 386
  • 08 Dec 2023
Topic Review
Improving Visual Defect Detection
Reliable functionality in anomaly detection in thermal image datasets is crucial for defect detection of industrial products. Nevertheless, achieving reliable functionality is challenging, especially when datasets are image sequences captured during equipment runtime with a smooth transition from healthy to defective images. This causes contamination of healthy training data with defective samples. Anomaly detection methods based on autoencoders are susceptible to a slight violation of a clean training dataset and lead to challenging threshold determination for sample classification. 
  • 385
  • 06 Sep 2023
Topic Review
AutoML with Bayesian Optimizations for Big Data Management
The field of automated machine learning (AutoML) has gained significant attention in recent years due to its ability to automate the process of building and optimizing machine learning models.
  • 385
  • 03 Nov 2023
Topic Review
Audio–Visual Emotion Recognition
Emotion recognition can be formulated as a problem where some source produces several streams of data (features) of various modalities (e.g., audio and video), each with its own distribution, and the goal is to estimate the distributions and map them onto the source.
  • 385
  • 21 Nov 2023
Topic Review
HVAC Data-Driven Maintenance
Buildings’ heating, ventilation, and air-conditioning (HVAC) systems account for significant global energy use. Proper maintenance can minimize their environmental footprint and enhance the quality of the indoor environment. The adoption of Internet of Things (IoT) sensors integrated into HVAC systems has paved the way for data-driven predictive maintenance (PdM) grounded in real-time operational metrics.
  • 384
  • 27 Oct 2023
Topic Review
Spatio-Temporal Hybrid Neural Network
The prediction of crowd flow in key urban areas is an important basis for city informatization development and management. Timely understanding of crowd flow trends can provide cities with data support in epidemic prevention, public security management, and other aspects. The model uses the Node2Vec graph embedding algorithm combined with LSTM (NDV-LSTM) to predict crowd flow.
  • 383
  • 26 May 2023
Topic Review
Particle Swarm Optimisation for Emotion Recognition Systems
Particle Swarm Optimisation (PSO) is a popular technique in the field of Swarm Intelligence (SI) that focuses on optimisation. Researchers have explored multiple algorithms and applications of PSO, including exciting new technologies, such as Emotion Recognition Systems (ERS), which enable computers or machines to understand human emotions.
  • 382
  • 26 Oct 2023
Topic Review
Application of AI Techniques for Predicting Weather Conditions
Artificial Intelligence is the area of computing that studies intelligent entities and tries, through various techniques, to teach the computer to perform activities that previously only intelligent entities could perform. There are several approaches and ways of doing this, and one of the most used is Artificial Neural Networks. This entry presents a study on techniques for using Artificial Intelligence. Furthermore, it presents two works that use Recurrent Neural Networks and LSTM to predict weather conditions, providing an analysis of the solution proposed in each approach and a comparison between them.
  • 382
  • 26 Feb 2024
Topic Review
Perceptual Encryption-Based Image Communication System for Tuberculosis Diagnosis
Block-based perceptual encryption (PE) algorithms are becoming popular for multimedia data protection because of their low computational demands and format-compliancy with the JPEG standard. In conventional methods, a colored image as an input is a prerequisite to enable smaller block size for better security. However, in domains such as medical image processing, unavailability of color images makes PE methods inadequate for their secure transmission and storage. A PE method that is applicable for both color and grayscale images is proposed. The EfficientNetV2-based model is implemented for automatic tuberculosis (TB) diagnosis in chest X-ray images.
  • 381
  • 21 Sep 2022
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