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Topic Review
Ship Automation System and Ship Data Collection
As technologies such as eco-friendly ships, electric propulsion vessels, and multi-fuel propulsion systems advance, the scope of IoT applications in maritime fields is expanding, resulting in increased complexity in control factors. The gradual progression towards Maritime Autonomous Surface Ships (MASS) is further driving the evolution of ship-based IoT applications. These advancements underscore the necessity for a platform capable of ensuring reliable connectivity between ships and onshore. 
  • 524
  • 20 Nov 2023
Topic Review
Multi-Robot Exploration and Optimization Methods
Exploring unknown environments using multiple robots has numerous applications in various fields but remains a challenging task. This entry proposes a novel hybrid optimization method called Hybrid Vulture-Coordinated Multi-Robot Exploration (HVCME), which combines Coordinated Multi-Robot Exploration (CME) and African Vultures Optimization Algorithm (AVOA) to optimize the construction of a finite map in multi-robot exploration. The researchers compared HVCME with four other similar algorithms using three performance measures: run time, percentage of the explored area, and the number of times the method failed to complete a run. The experimental results show that HVCME outperforms the other four methods, demonstrating its effectiveness in optimizing the construction of a finite map in an unknown indoor environment.
  • 289
  • 20 Nov 2023
Topic Review
Simultaneous Localization and Mapping System in Dynamic Environment
Simultaneous localization and mapping (SLAM) plays a crucial role in the field of intelligent mobile robots. However, the traditional Visual SLAM (VSLAM) framework is based on strong assumptions about static environments, which are not applicable to dynamic real-world environments. The correctness of re-localization and recall of loop closure detection are both lower when the mobile robot loses frames in a dynamic environment.
  • 248
  • 20 Nov 2023
Topic Review
From Shallow to Deep Bioprocess Hybrid Modeling
Hybrid neural network (HNN)  modeling is the combination of artificial neural networks (ANNs) with prior knowledge in a mathematical framework. There are two main approaches to incorporating prior knowledge: design and training methods. Design approaches use prior knowledge to define the network structure, while training approaches use it to guide parameter estimation. Both approaches reduce data dependency, making models less sensitive to sparse and noisy data, and improving their descriptive and predictive capabilities compared to pure ANNs. HNNs are a powerful tool for understanding complex processes like bioprocesses and accelerating product development. Bioprocess modeling is challenging due to nonlinearity, dynamics, and uncertainty. Traditional models based on physical and chemical laws can be overly simplistic or hard to calibrate. Data-driven ANN models lack interpretability and generalization. HNNs combine the strengths of both approaches, enhancing the accuracy, robustness, and efficiency of bioprocess modeling by integrating prior knowledge with ANNs.
  • 204
  • 20 Nov 2023
Topic Review
Arabic Text Clustering
Arabic text clustering is an essential topic in Arabic Natural Language Processing (ANLP). Its significance resides in various applications, such as document indexing, categorization, user review analysis, and others. 
  • 300
  • 20 Nov 2023
Topic Review
Assessment of Parent–Child Interaction Quality from Dyadic Dialogue
The quality of parent–child interaction is critical for child cognitive development. The Dyadic Parent–Child Interaction Coding System (DPICS) is commonly used to assess parent and child behaviors. However, manual annotation of DPICS codes by parent–child interaction therapists is a time-consuming task. To assist therapists in the coding task, researchers have begun to explore the use of artificial intelligence in natural language processing to classify DPICS codes automatically.
  • 180
  • 20 Nov 2023
Topic Review
Cryptocurrency and Blockchain Technology
Cryptocurrency has exploded in popularity, with Bitcoin adopted as a national currency in two countries. The blockchain technology on which cryptocurrency is built is an important tool used not only to facilitate a medium of exchange but also in many industries, including healthcare and education. As with all technologies, blockchain is a tool and can be abused by malicious actors. However, the decentralised nature of the technology creates an obstacle to establishing jurisdiction in transnational crimes.
  • 307
  • 17 Nov 2023
Topic Review
Facial Expression Recognition System Using Convolutional Neural Network
Recognizing facial expressions plays a crucial role in various multimedia applications, such as human–computer interactions and the functioning of autonomous vehicles. An individual’s facial expressions (FEs) or countenance convey their psychological reactions and intentions in response to a social or personal event. These expressions convey non-verbal stealth messages. With technological advancements, human behavior can be understood through facial expression recognition (FER). To express emotions, humans use facial expressions as their primary nonverbal communication method.
  • 209
  • 17 Nov 2023
Topic Review
Deep Learning-Based Depression Detection from Social Media
Depression is a prevalent mental health condition that affects a substantial number of individuals worldwide [1]. It is characterized by persistent feelings of sadness, loss of interest, and impaired functioning, leading to a significant decline in overall well-being and quality of life.
  • 334
  • 17 Nov 2023
Topic Review
Implementation of Location-Based Game Prototypes
Location-based games (LBGs) are a form of experimentation with locative media involving location-aware mobile technologies and the disclosure of user locations. By integrating digital content with physical space through GPS technology, a hybrid space is created, offering a multi-dimensional experience. Locative games exemplify the ludic trend in contemporary culture. The use of locative media further enriches urban spaces by providing location-based information and hidden narratives. These developments originated from artistic experimentation with GPS technology, since artists explored hybrid spaces by integrating data packets or metadata into physical environments.
  • 333
  • 17 Nov 2023
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