Topic Review
INtra-INter Spectral Attention Network for Pedestrian Detection
Pedestrian detection is a critical task for safety-critical systems, but detecting pedestrians is challenging in low-light and adverse weather conditions. Thermal images can be used to improve robustness by providing complementary information to RGB images.
  • 2
  • 02 Mar 2024
Topic Review
Decision Support Systems in Forestry and Tree-Planting Practices
Using deep neural networks (DNNs), a decision support system (DSS) can be trained to learn from a large dataset of tree data, including information about tree species, climate, soil conditions, and other factors that influence tree growth and survival. This is because the use of neural networks was proposed three decades ago to solve forest management problems by integrating forest knowledge with artificial intelligence (AI). AI greatly benefits sustainability and the preservation of ecosystem values, as increasing disruptions in a changing world can only be managed beyond human intelligence. Furthermore, despite the various DSSs and AI systems used, the appointment of appropriate project managers is crucial to the execution and subsequent success of a project.
  • 44
  • 01 Mar 2024
Topic Review
OptiDJS+
The continuously evolving world of cloud computing presents new challenges in resource allocation as dispersed systems struggle with overloaded conditions. In this regard, OptiDJS+ is a cutting-edge enhanced dynamic Johnson sequencing algorithm made to successfully handle resource scheduling challenges in cloud computing settings. With a solid foundation in the dynamic Johnson sequencing algorithm, OptiDJS+ builds upon it to suit the demands of modern cloud infrastructures. OptiDJS+ makes use of sophisticated optimization algorithms, heuristic approaches, and adaptive mechanisms to improve resource allocation, workload distribution, and task scheduling. To obtain the best performance, this strategy uses historical data, dynamic resource reconfiguration, and adaptation to changing workloads. 
  • 111
  • 01 Mar 2024
Topic Review
New Technologies-Based Physical Unclonable Functions
A physical unclonable function (PUF) is a technology designed to safeguard sensitive information and ensure data security. PUFs generate unique responses for each challenge by leveraging random deviations in the physical microstructures of integrated circuits (ICs), making it incredibly difficult to replicate them. However, traditional silicon PUFs are now susceptible to various attacks, such as modeling attacks using conventional machine learning techniques and reverse engineering strategies. As a result, PUFs based on new materials or methods are being developed to enhance their security.
  • 64
  • 01 Mar 2024
Topic Review
Personalization of User Interface and Clustering of Users
Adaptive user interfaces (AUIs) are defined as user interfaces that can change according to user activities. They are designed to adapt to the needs of individual users or groups of users based on their preferences, behavior, and context. These interfaces provide an optimal user experience by adapting interface elements, including layout, content, and functionality, to align with users’ needs and goals. 
  • 11
  • 01 Mar 2024
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. 
  • 123
  • 01 Mar 2024
Topic Review
An Overview of Brain Tumor Segmentation
Brain tumor segmentation plays a crucial role in the diagnosis, treatment planning, and monitoring of brain tumors. Accurate segmentation of brain tumor regions from multi-sequence magnetic resonance imaging (MRI) data is of paramount importance for precise tumor analysis and subsequent clinical decision making. The ability to delineate tumor boundaries in MRI scans enables radiologists and clinicians to assess tumor size, location, and heterogeneity, facilitating treatment planning and evaluating treatment response. Traditional manual segmentation methods are time-consuming, subjective, and prone to inter-observer variability. Therefore, the automatic segmentation algorithm has received widespread attention as an alternative solution. For instance, the self-organizing map (SOM) is an unsupervised exploratory data analysis tool that leverages principles of vector quantization and similarity measurement to automatically partition images into self-similar regions or clusters. Segmentation methods based on SOM have demonstrated the ability to distinguish high-level and low-level features of tumors, edema, necrosis, cerebrospinal fluid, and healthy tissue.
  • 21
  • 01 Mar 2024
Topic Review
Resource Elasticity
Elasticity as the ability of a system to be able to add or remove computational resources during the use and processing of data, in order to adapt to workload variations in real time . These resources can be CPU cores, RAM memory, GPU, Virtual Machine instances (known as VM's), among others. Elasticity is a dynamic property of Cloud Computing. There are two types of elasticity in the literature: horizontal and vertical. Vertical elasticity consists of the system's ability to increase or decrease the characteristics of computational resources, such as CPU time, cores, memory and network. Horizontal elasticity consists of the system's ability to add or remove instances of computational resources associated with the application that uses them. This entry will describe the main classifications for elastic systems.
  • 21
  • 01 Mar 2024
Topic Review
The Theory of Mobile Usability
The success of a new mobile application depends on a variety of factors ranging from business understanding, customer value, and perceived quality of use. In this sense, the topic of usability testing of mobile applications is relevant from the point of view of user satisfaction and acceptance. 
  • 23
  • 01 Mar 2024
Topic Review
The Microverse
The proliferation of Internet of Things (IoT) technology combined with evolving artificial intelligence (AI) and machine learning (ML) promote unprecedented advancements in ubiquitous and seamless services for human activities. In the context of smart cities, the fusion of the metaverse with the IoT—an expansive network of interlinked devices and sensors—heralds a transformative era in urban interaction, blending the digital with the physical.
  • 24
  • 01 Mar 2024
  • Page
  • of
  • 364