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Topic Review
Machine Learning Approaches in SCRM
Machine learning (ML) has already been implemented within the supply chain risk management (SCRM) field, both in theory and in practice. The applied examples relate primarily to the early identification of production, transport, and supply risks in order to counteract potential supply chain problems quickly. Through the analyzed case studies, we were able to identify the added value that ML integration can bring to the SCRM.
  • 1.2K
  • 28 Sep 2021
Topic Review
Methods for Melanoma and Nonmelanoma Skin Cancers Classification
Skin cancer is considered a dangerous type of cancer with a high global mortality rate. Manual skin cancer diagnosis is a challenging and time-consuming method due to the complexity of the disease. In the field of transfer learning and federated learning, there are several new algorithms and techniques for classifying melanoma and nonmelanoma skin cancer.
  • 1.2K
  • 19 Oct 2023
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.
  • 1.2K
  • 04 Mar 2024
Topic Review
Real-Time Deep Learning-Based Drowsiness Detection
Drowsy driving can significantly affect driving performance and overall road safety. Statistically, the main causes are decreased alertness and attention of the drivers. The combination of deep learning and computer-vision algorithm applications has been proven to be one of the most effective approaches for the detection of drowsiness. Robust and accurate drowsiness detection systems can be developed by leveraging deep learning to learn complex coordinate patterns using visual data. Deep learning algorithms have emerged as powerful techniques for drowsiness detection because of their ability to learn automatically from given inputs and feature extractions from raw data. Eye-blinking-based drowsiness detection was applied, which utilized the analysis of eye-blink patterns.
  • 1.2K
  • 07 Aug 2023
Topic Review
Dragonfly Algorithm and Its Hybrids: A Survey
Optimization algorithms are essential for numerous optimization applications where usually certain parameters are minimized or maximized by considering an objective function. These algorithms include exact methods and heuristic algorithms such as swarm intelligence algorithms. Swarm intelligence is a discipline which makes use of a number of agents, thereby forming a population in which individuals interact among themselves and with their environment, to give rise to a global intelligent behavior. The Dragonfly Algorithm (DA) is a swarm intelligence algorithm that was proposed in 2016, and it is inspired by the behavior of dragonflies in nature. It has been found to have a higher performance than some of the most popular evolutionary algorithms, such as the genetic algorithm (GA), and swarm intelligence algorithms such as particle swarm optimization (PSO). Owing to its high effectiveness and efficiency, it has been utilized in multifarious applications and attempts to further improve its performance have been made and hence a number of hybrids of DA have been proposed.
  • 1.2K
  • 25 Nov 2021
Topic Review
Underwater Soft Robotics
Underwater exploration, much like space exploration, has been at the frontier of science and engineering ventures. Some of the early robotic systems sent by humans to explore marine life are known as remotely operated vehicles (ROVs).  ROVs are underwater robots, manually operated by a pilot, using tethered communication. Soft robots made from compliant materials can achieve shrinking and bending motion that allow them to navigate within narrow areas. The ability of soft robots to deform, change their shapes, exhibit infinite degrees of freedom, and perform complex motion, makes them a suitable candidate for the basis of biological emulation, especially that of underwater creatures, which are one of the sources of biomimetic inspiration for robotic and engineering systems.
  • 1.2K
  • 09 Feb 2022
Topic Review
Industry 4.0 Enabling Technologies in the Firm’s Finance
Financial management is a critical aspect of firms, and entails the strategic planning, direction, and control of financial endeavors. Risk assessment, fraud detection, wealth management, online transactions, customized bond scheme, customer retention, virtual assistant and so on, are a few of the critical areas where Industry 4.0 technologies intervention are highly required for managing firms' finance. It has been identified that they are limited studies that have addressed the significance and application of integrating of Industry 4.0 technologies such as Internet of Things (IoT), cloud computing, big data, robotic process automation (RPA), artificial intelligence (AI), Blockchain, Digital twin, and Metaverse.
  • 1.2K
  • 30 Dec 2022
Topic Review
Smart Transportation
As technology continues to evolve, our society is becoming enriched with more intelligent devices that help us perform our daily activities more efficiently and effectively. One of the most significant technological advancements of our time is the Internet of Things (IoT), which interconnects various smart devices (such as smart mobiles, intelligent refrigerators, smartwatches, smart fire alarms, smart door locks, and many more) allowing them to communicate with each other and exchange data seamlessly. 
  • 1.2K
  • 15 May 2023
Topic Review
Stock Index Prediction
The stock index is an important indicator to measure stock market fluctuation, with a guiding role for investors’ decision-making, thus being the object of much research. However, the stock market is affected by uncertainty and volatility, making accurate prediction a challenging task. 
  • 1.2K
  • 07 Feb 2022
Topic Review
Spectral Reconstruction Methods for Remote Sensing Images
Spectral reconstruction of remote sensing images mainly focused on RGB or multispectral to hyperspectral. Spectral reconstruction methods can be divided into two branches: prior-driven and data-driven methods. Earlier researchers adopted the sparse dictionary method. With the development of deep learning, owing to its excellent feature extraction and reconstruction capabilities, more and more researchers are adopting deep learning methods to gradually replace the traditional sparse dictionary approach.
  • 1.2K
  • 20 Jul 2022
Topic Review
AI-Enabled Models for Parkinson’s Disease Diagnosis
Parkinson’s disease (PD) is a devastating neurological disease that cannot be identified with traditional plasma experiments, necessitating the development of a faster, less expensive diagnostic instrument. Due to the difficulty of quantifying PD in the past, doctors have tended to focus on some signs while ignoring others, primarily relying on an intuitive assessment scale because of the disease’s characteristics, which include loss of motor control and speech that can be utilized to detect and diagnose this disease. It is an illness that impacts both motion and non-motion functions. It takes years to develop and has a wide range of clinical symptoms and prognoses. 
  • 1.2K
  • 15 May 2023
Topic Review
Opium Poppy Detection in Unmanned Aerial Vehicle Imagery
Opium poppy is a medicinal plant, and its cultivation is illegal without legal approval in China. Unmanned aerial vehicle (UAV) is an effective tool for monitoring illegal poppy cultivation. Unmanned aerial vehicle (UAV) is more flexible and mobile than remote sensing satellite, and their high-resolution images can help to detect poppies in areas that are hard to see. 
  • 1.2K
  • 18 Feb 2024
Topic Review
Supply Chain Management in Pandemics
Pandemics cause chaotic situations in supply chains (SC) around the globe, which can lead towards survivability challenges. The ongoing COVID-19 pandemic is an unprecedented humanitarian crisis that has severely affected global business dynamics. Similar vulnerabilities have been caused by other outbreaks in the past. In these terms, prevention strategies against propagating disruptions require vigilant goal conceptualization and roadmaps. In this respect, there is a need to explore supply chain operation management strategies to overcome the challenges that emerge due to COVID-19-like situations. 
  • 1.2K
  • 16 Mar 2021
Topic Review
Optical Medieval Music Recognition
Optical Music Recognition (OMR) is one of the key technologies to accelerate and simplify the transcription task in an automatic way. Typically, an OMR system takes an image or manuscript of a musical composition and transforms its content encoded in some digital format such as MEI or MusicXML. 
  • 1.2K
  • 11 Jul 2022
Topic Review
Driver Drowsiness Detection
Drowsy driving is a widespread cause of traffic accidents, especially on highways. It has become an essential task to seek an understanding of the situation in order to be able to take immediate remedial actions to detect driver drowsiness and enhance road safety.
  • 1.2K
  • 25 Sep 2023
Topic Review
Ethical Principles of Artificial Intelligence in Healthcare
Integrating Artificial Intelligence (AI) in healthcare marks a significant milestone, signaling the advent of a new era in precision medicine. This transformative shift holds immense promise for revolutionizing patient care, offering advancements that were once considered futuristic.
  • 1.2K
  • 23 Jan 2024
Topic Review
Short Video Classification Framework
The explosive growth of online short videos has brought great challenges to the efficient management of video content classification, retrieval, and recommendation. Video features for video management can be extracted from video image frames by various algorithms, and they have been proven to be effective in the video classification of sensor systems. 
  • 1.2K
  • 27 Nov 2023
Topic Review
Enhancing Social Media Platforms with Machine Learning
Network analysis aids management in reducing overall expenditures and maintenance workload. Social media platforms frequently use neural networks to suggest material that corresponds with user preferences. Machine learning is one of many methods for social network analysis. Machine learning algorithms operate on a collection of observable features that are taken from user data. Machine learning and neural network-based systems represent a topic of study that spans several fields. Computers can now recognize the emotions behind particular content uploaded by users to social media networks thanks to machine learning.
  • 1.2K
  • 19 Jun 2023
Topic Review
Robotic-Systems for Improving Upper-Limb Spasticity
Spasticity is a motor disorder that causes stiffness or tightness of the muscles and can interfere with normal movement, speech, and gait. Traditionally, the spasticity assessment is carried out by clinicians using standardized procedures for objective evaluation. However, these procedures are manually performed and, thereby, they could be influenced by the clinician’s subjectivity or expertise. The automation of such traditional methods for spasticity evaluation is an interesting and emerging field in neurorehabilitation. One of the most promising approaches is the use of robot-aided systems.
  • 1.2K
  • 26 Oct 2020
Topic Review
Trends in Malware Detection
Monitoring Indicators of Compromise (IOC) leads to malware detection for identifying malicious activity. Malicious activities potentially lead to a system breach or data compromise. Various tools and anti-malware products exist for the detection of malware and cyberattacks utilizing IOCs, but all have several shortcomings. In the quest to fight zero-day attacks, the research paradigm shifted from primitive methods to classical machine learning-based methods, then to deep learning-based methods.
  • 1.2K
  • 20 Oct 2022
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