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Topic Review
The Role of AI in Renewable Energy
Renewable energy sources such as solar and wind power are becoming increasingly important as we seek to reduce our reliance on fossil fuels and mitigate the effects of climate change. At the same time, artificial intelligence (AI) is rapidly advancing and finding applications in a wide range of fields, including renewable energy. The role of AI in the future of renewable energy, including its potential to optimize energy systems, improve the efficiency of renewable energy technologies, and reduce maintenance costs were described. The open challenges and future directions for the use of AI in the renewable energy sector, as well as the countries that are pioneers in this field were discussed.
  • 360
  • 22 May 2023
Topic Review
Remote Sensing Applications in Almond Orchards
Almond cultivation is of great socio-economic importance worldwide. With the demand for almonds steadily increasing due to their nutritional value and versatility, optimizing the management of almond orchards becomes crucial to promote sustainable agriculture and ensure food security.
  • 360
  • 29 Feb 2024
Topic Review
CondenseNeXtV2
CondenseNeXtV2 is inspired by and is an improvement over CondenseNeXt convolutional neural network (CNN). The primary goal of CondenseNeXtV2 CNN is to further improve performance and top-1 accuracy of the network. 
  • 359
  • 30 Aug 2023
Topic Review
Prediction of Cervical Cancer
Cervical cancer ranks among the top causes of death among females in developing countries. The most important procedures that should be followed to guarantee the minimizing of cervical cancer’s aftereffects are early identification and treatment under the finest medical guidance. 
  • 359
  • 12 Oct 2023
Topic Review
Web Search Results Exploration for Blind Users
In the contemporary digital landscape, web search functions as a pivotal conduit for information dissemination. Nevertheless, blind users (BUs) encounter substantial barriers in leveraging online services, attributable to intrinsic deficiencies in the information structure presented by online platforms. A critical analysis reveals that a considerable segment of BUs perceive online service access as either challenging or unfeasible, with only a fraction of search endeavors culminating successfully. 
  • 359
  • 21 Nov 2023
Topic Review
Adaptive Local Cross-Channel Interaction
Adding an attention module to the deep convolution semantic segmentation network has significantly enhanced the network performance. However, the existing channel attention module focusing on the channel dimension neglects the spatial relationship, causing location noise to transmit to the decoder.
  • 359
  • 24 Nov 2023
Topic Review
NextDet with Attentive Feature Aggregation
NextDet, built upon YOLOv5 object detection framework for efficient monocular sparse-to-dense streaming perception, is specially designed for autonomous vehicles and autonomous rovers using edge devices. NextDet is faster, lighter and can perform both, sparse and dense object detection efficiently.
  • 356
  • 30 Aug 2023
Topic Review
Self-Healing in Cyber–Physical Systems Using Machine Learning
The rapid advancement of networking, computing, sensing, and control systems has introduced a wide range of cyber threats, including those from new devices deployed during the development of scenarios. With advancements in automobiles, medical devices, smart industrial systems, and other technologies, system failures resulting from external attacks or internal process malfunctions are increasingly common. Restoring the system’s stable state requires autonomous intervention through the self-healing process to maintain service quality.
  • 356
  • 12 Oct 2023
Topic Review
IoT-Enabled Urban Intelligent Transportation Systems
The exponential growth of the Internet of Things has precipitated a revolution in Intelligent Transportation Systems (ITS), notably in urban environments. An ITS leverages advancements in communication technologies and data analytics to enhance the efficiency and intelligence of transport networks. At the same time, these IoT-enabled ITSs generate a vast array of complex data classified as Big Data.
  • 356
  • 09 Nov 2023
Topic Review
Machine Learning-Based Facial Palsy Detection and Evaluation
Automated solutions for medical diagnosis based on computer vision form an emerging field of science aiming to enhance diagnosis and early disease detection. The detection and quantification of facial asymmetries enable facial palsy evaluation.  Deep learning methods allow the automatic learning of discriminative deep facial features, leading to comparatively higher performance accuracies.
  • 356
  • 22 Jan 2024
Topic Review
Automatic Genre Identification for Massive Text Collections
Automatic genre identification is a text classification task, as a method of providing insights into the content of large text collections. It evaluates various machine learning models for their generalization capabilities, including pre-Transformer approaches, BERT-like encoder models and instruction-tuned GPT large language models. As a result, it introduces the first publicly-available benchmark for this task. What is more, a high-performing genre classifier that can be applied to numerous languages is introduced.
  • 355
  • 30 Oct 2023
Topic Review
Brain Tumor Segmentation from MRI Images
Brain tumor segmentation from magnetic resonance imaging (MRI) scans is critical for the diagnosis, treatment planning, and monitoring of therapeutic outcomes.
  • 354
  • 31 Oct 2023
Topic Review
Use of Self-Supervised Learning against DDoS Attacks
The Internet of Things (IoT), projected to exceed 30 billion active device connections globally by 2025, presents an expansive attack surface. The frequent collection and dissemination of confidential data on these devices exposes them to significant security risks, including user information theft and denial-of-service attacks.
  • 354
  • 24 Nov 2023
Topic Review
Data Gathering and Disease Detection in Healthcare WSN
Wireless sensor networks (WSNs) consist of a multitude of distributed devices, equipped with sensors, to monitor physical or environmental conditions. These devices, also known as nodes, collaboratively pass their data through the network to a main location or sink where the data can be observed and analyzed. WSNs have emerged as a promising technology in healthcare, enabling continuous patient monitoring and early disease detection. 
  • 354
  • 22 Mar 2024
Topic Review
Hierarchical Multi-Objective Optimization for Dedicated Bus Punctuality
Public transportation is a crucial component of urban transportation systems, and improving passenger sharing rates can help alleviate traffic congestion. 
  • 353
  • 05 Jun 2023
Topic Review
Knowledge Reasoning
A knowledge graph (KG) organizes knowledge as a set of interlinked triples, and a triple ((head entity, relation, tail entity), simply represented as (h, r, t)) indicates the fact that two entities have a certain relation. The availability of formalized and rich structured knowledge has emerged as a valuable resource in facilitating various downstream tasks, such as question answering and recommender systems. Although KGs such as DBpedia, Freebase, and NELL contain large amounts of entities, relations, and triples, they are far from complete, which is an urgent issue for their broad application. To address this, researchers have introduced the concept of knowledge graph completion (KGC), which has garnered increasing interest. It utilizes knowledge reasoning techniques to automatically discover new facts based on existing ones in a KG.
  • 352
  • 12 Oct 2023
Topic Review
Self-Attention-Based 3D Object Detection for Autonomous Driving
Autonomous vehicles (AVs) play a crucial role in enhancing urban mobility within the context of a smarter and more connected urban environment. Three-dimensional object detection in AVs is an essential task for comprehending the driving environment to contribute to their safe use in urban environments. 
  • 351
  • 27 Oct 2023
Topic Review
Incremental Scene Classification Using Dual Knowledge Distillation
Conventional deep neural networks face challenges in handling the increasing amount of information in real-world scenarios where it is impractical to gather all the training data at once. Incremental learning, also known as continual learning, provides a solution for lightweight and sustainable learning with neural networks.
  • 351
  • 08 Feb 2024
Topic Review
IoMT Based Big Data Framework for COVID-19
The Internet of Medical Things (IoMT) is transforming modern healthcare systems by merging technological, economical, and social opportunities and has recently gained traction in the healthcare domain. The severely contagious respiratory syndrome coronavirus called COVID-19 has emerged as a severe threat to public health. COVID-19 is a highly infectious virus that is spread by person-to-person contact.
  • 350
  • 22 Sep 2023
Topic Review
Eye-Tracking-Based Trail-Making Test to Detect Cognitive Impairment
The growing number of people with cognitive impairment will significantly increase healthcare demand. Screening tools are crucial for detecting cognitive impairment due to a shortage of mental health experts aiming to improve the quality of life for those living with this condition. Eye tracking is a powerful tool that can provide deeper insights into human behavior and inner cognitive processes. The proposed Eye-Tracking-Based Trail-Making Test, ETMT, is a screening tool for monitoring a person’s cognitive function.
  • 349
  • 21 Aug 2023
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