Topic Review
Higher Accuracy in YOLO Detection for Vehicle Inspection
Against the backdrop of ongoing urbanization, issues such as traffic congestion and accidents are assuming heightened prominence, necessitating urgent and practical interventions to enhance the efficiency and safety of transportation systems. A paramount challenge lies in realizing real-time vehicle monitoring, flow management, and traffic safety control within the transportation infrastructure to mitigate congestion, optimize road utilization, and curb traffic accidents.
  • 216
  • 22 Dec 2023
Topic Review
Data Mining Techniques for Students’ Performance Predictive Analysis
The utilization of data mining techniques for the prompt prediction of academic success has gained significant importance in the current era. There is an increasing interest in utilizing these methodologies to forecast the academic performance of students, thereby facilitating educators to intervene and furnish suitable assistance when required.
  • 255
  • 22 Dec 2023
Topic Review
Wrist-Based Electrodermal Activity Monitoring for Stress Detection
With the most recent developments in wearable technology, the possibility of continually monitoring stress using various physiological factors has attracted much attention. By reducing the detrimental effects of chronic stress, early diagnosis of stress can enhance healthcare. Machine Learning (ML) models are trained for healthcare systems to track health status using adequate user data. Insufficient data is accessible.
  • 254
  • 22 Dec 2023
Topic Review
Spatial and Temporal Human Action Recognition Analysis
Human action recognition in computer vision is the task that identifies how a person or a group acts on a video sequence. Early methods that rely on representation-based solutions, like the histogram of oriented gradients (HOG), local binary patterns (LBP), and motion analysis, have been used to address this problem over the years. Later works are based on machine and deep-learning techniques, such as support vector machines (SVM), two- or three-dimensional convolutional neural networks (2D-CNNs, 3D-CNNs), recurrent neural networks (RNNs), and vision transformers (ViT), aiming to enhance the performance and reduce bias.
  • 151
  • 22 Dec 2023
Topic Review
Medthods to Enhance Internet of Things Network Security
The internet of things (IoT) has ushered in a new era of connectivity, transforming various industries by enabling faster sensor and data access. The widespread adoption of the IoT is not without challenges. Devices often grapple with limited battery lifetimes, the need to function in remote locations, and demanding transceiver operations. Among these challenges, security stands out as the most daunting.
  • 110
  • 22 Dec 2023
Topic Review
Logical Reasoning Machine Reading Comperhension
Logical reasoning requires correct understanding of the logical relationships between different sentences, pointing out a positive example that enhances the reliability of a conclusion or a negative example that weakens the reliability of a conclusion. The need for this capability places higher demands on the performance of existing reading comprehension models since the inference capability of a large number of models relies heavily on entities and their numerical weights. 
  • 240
  • 22 Dec 2023
Topic Review
Budget Allocation with Combinatorial Constraints
Budget allocation problems, commonly referred to as capital budgeting problems, often involve many constraints. Consequently, efficiently and effectively solving these problems becomes increasingly challenging. Advancements in linear programming-based row generation and optimization-based sorting methods offer promising solutions to address these challenges.
  • 170
  • 21 Dec 2023
Topic Review
Channel Codes for Underwater Acoustic Communications
Due to the simultaneous existence of severe difficulties caused by multi-path, Doppler, and environmental noise caused by underwater acoustic channels, designing a stable and reliable underwater acoustic communication system (UWACS) is a challenging task. In addition to channel estimation and equalization, the technique of channel codes, which is capable of approaching Shannon’s capacity at a low encoding and decoding complexity, offers an efficient and reliable solution to improve the performance of the UWACS and thus draws extensive attention from the research community.
  • 338
  • 21 Dec 2023
Topic Review
Detection Leaf Blight Using Guava Leaves Imaging
Fruit is an essential element of human life and a significant gain for the agriculture sector. Guava is a common fruit found in different countries. It is considered the fourth primary fruit in Pakistan. Several bacterial and fungal diseases found in guava fruit decrease production daily. Leaf Blight is a common disease found in guava fruit that affects the growth and production of fruit. Automatic detection of leaf blight disease in guava fruit can help avoid decreases in its production.
  • 205
  • 21 Dec 2023
Topic Review
Smart Parking
Smart parking is an artificial intelligence-based solution to solve the challenges of inefficient utilization of parking slots, wasting time, congestion producing high CO2 emission levels, inflexible payment methods, and protecting parked vehicles from theft and vandalism. Nothing is worse than parking congestion caused by drivers looking for open spaces. This is common in large parking lots, underground garages, and multi-story car parks, where visibility is limited and signage can be confusing or difficult to read, so drivers have no idea where available parking spaces are.
  • 229
  • 21 Dec 2023
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