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View article: Performance evaluation of self-organizing features in wireless sensor networks
Performance evaluation of self-organizing features in wireless sensor networks Open
With recent advancements in microelectromechanical systems, low-power integrated circuits, and wireless communications, wireless sensor networks have gained immense significance [1,2]. These distributed networks facilitate the efficient ut…
View article: CXR-Seg: A Novel Deep Learning Network for Lung Segmentation from Chest X-Ray Images
CXR-Seg: A Novel Deep Learning Network for Lung Segmentation from Chest X-Ray Images Open
Over the past decade, deep learning techniques, particularly neural networks, have become essential in medical imaging for tasks like image detection, classification, and segmentation. These methods have greatly enhanced diagnostic accurac…
View article: Enhancing Wireless Sensor Network Security through Integration with the ServiceNow Cloud Platform
Enhancing Wireless Sensor Network Security through Integration with the ServiceNow Cloud Platform Open
Wireless Sensor Networks (WSNs) continue to experience rapid developments and integration into modern-day applications. Overall, WSNs collect and process relevant data through sensors or nodes and communicate with different networks for su…
View article: Enhancing CNN Weights for Improved Routing in UAV Networks for Catastrophe Relief with MSBO Algorithm
Enhancing CNN Weights for Improved Routing in UAV Networks for Catastrophe Relief with MSBO Algorithm Open
UAVs have become key in various applications lately, from catastrophe relief to environmental monitoring. The plan of powerful and reliable directing protocols in UAV networks is seriously hampered by the dynamic and habitually eccentric m…
View article: A Comparative Study on Self-Organization in Wireless Sensor Networks
A Comparative Study on Self-Organization in Wireless Sensor Networks Open
With advancements in microelectromechanical systems, low-power integrated circuits, and wireless communications, wireless sensor networks (WSNs) have become increasingly significant [1][2]. These distributed networks enable efficient resou…
View article: LSCS-Net: A lightweight skin cancer segmentation network with densely connected multi-rate atrous convolution
LSCS-Net: A lightweight skin cancer segmentation network with densely connected multi-rate atrous convolution Open
The rising occurrence and notable public health consequences of skin cancer, especially of the most challenging form known as melanoma, have created an urgent demand for more advanced approaches to disease management. The integration of mo…
View article: Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing
Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing Open
With the outbreak of the COVID-19 pandemic, social isolation and quarantine have become commonplace across the world. IoT health monitoring solutions eliminate the need for regular doctor visits and interactions among patients and medical …
View article: Smartphone Sensors for Indoor Positioning
Smartphone Sensors for Indoor Positioning Open
The explosive growth and wide proliferation of mobile devices, the majority of which are smartphones, led to the inception of several novel and intuitive services, including on-the-go services, online customer services, and location-based …
View article: An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network
An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network Open
The diagnosis of early-stage lung cancer is challenging due to its asymptomatic nature, especially given the repeated radiation exposure and high cost of computed tomography(CT). Examining the lung CT images to detect pulmonary nodules, es…
View article: Wi-Fi Positioning Dataset with Multiusers and Multidevices Considering Spatio-Temporal Variations
Wi-Fi Positioning Dataset with Multiusers and Multidevices Considering Spatio-Temporal Variations Open
Precise information on indoor positioning provides a foundation for position-related customer services. Despite the emergence of several indoor positioning technologies such as ultrawideband, infrared, radio frequency identification, Bluet…
View article: Recurrent Neural Network and Reinforcement Learning Model for COVID-19 Prediction
Recurrent Neural Network and Reinforcement Learning Model for COVID-19 Prediction Open
Detection and prediction of the novel Coronavirus present new challenges for the medical research community due to its widespread across the globe. Methods driven by Artificial Intelligence can help predict specific parameters, hazards, an…
View article: Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things
Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things Open
Localization of sensor nodes in the Internet of Underwater Things (IoUT) is of considerable significance due to its various applications, such as navigation, data tagging, and detection of underwater objects. Therefore, in this paper, w…
View article: Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things
Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things Open
Localization of sensor nodes in the Internet of Underwater Things (IoUT) is of considerable significance due to its various applications, such as navigation, data tagging, and detection of underwater objects. Therefore, in this paper, w…
View article: Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things
Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things Open
Localization of sensor nodes in the Internet of Underwater Things (IoUT) is of considerable significance due to its various applications, such as navigation, data tagging, and detection of underwater objects. Therefore, in this paper, we p…
View article: Blockchain-based green big data visualization: BGbV
Blockchain-based green big data visualization: BGbV Open
The progression of Internet of Things (IoT) has resulted in generation of huge amount of data. Effective handling and analysis of such big volumes of data proposes a crucial challenge. Existing cloud-based frameworks of Big Data visualizat…
View article: License plate identification and recognition in a non-standard environment using neural pattern matching
License plate identification and recognition in a non-standard environment using neural pattern matching Open
Non-standard license plates are a part of current traffic trends in Pakistan. Private number plates should be recognized and, monitored for several purposes including security as well as a well-developed traffic system. There is a challeng…
View article: Empirical Overview of Benchmark Datasets for Geomagnetic Field-Based Indoor Positioning
Empirical Overview of Benchmark Datasets for Geomagnetic Field-Based Indoor Positioning Open
Indoor positioning and localization have been regarded as some of the most widely researched areas during the last decade. The wide proliferation of smartphones and the availability of fast-speed internet have initiated several location-ba…
View article: Determining the Efficiency of Drugs Under Special Conditions From Users’ Reviews on Healthcare Web Forums
Determining the Efficiency of Drugs Under Special Conditions From Users’ Reviews on Healthcare Web Forums Open
Sentiment analysis is the extraction and categorization of sentiments that have been expressed in text data using text analysis techniques. Manifested by earlier studies, sentiment analysis of drug reviews has a large potential for providi…
View article: Resolving Energy Consumption Issues and Spectrum Allocation for Future Broadband Networks
Resolving Energy Consumption Issues and Spectrum Allocation for Future Broadband Networks Open
With the fast and rapid pace of developments in wireless technology, energy consumption has become a problem of great significance for future networks. Over the past few years, several energy monitoring policies have been initiated to prom…
View article: MagWi: Benchmark Dataset for Long Term Magnetic Field and Wi-Fi Data Involving Heterogeneous Smartphones, Multiple Orientations, Spatial Diversity and Multi-Floor Buildings
MagWi: Benchmark Dataset for Long Term Magnetic Field and Wi-Fi Data Involving Heterogeneous Smartphones, Multiple Orientations, Spatial Diversity and Multi-Floor Buildings Open
The wide use of mobile devices introduced several new services for the consumer market which are collectively called location-based services, the name being indicative of the significance of the consumer position. Consequently, a rich vari…
View article: Adaptable Reduced-Complexity Approach Based on State Vector Machine for Identification of Criminal Activists on Social Media
Adaptable Reduced-Complexity Approach Based on State Vector Machine for Identification of Criminal Activists on Social Media Open
Security agencies face an emerging challenge of identifying and counter the malicious contents spread on the social media by the terrorists. However, text classification techniques are limited by visualization, pre-processing, features ext…
View article: Fuzzy system for economy back on track
Fuzzy system for economy back on track Open
This special issue of the Journal of Intelligent & Fuzzy Systems contains selected articles of fuzzy system for economy back on track.