Lung cancer patients constitute a relatively smaller number than the overall population of non-cancerous individuals. This causes an imbalance between benign and malignant nodule image class data, which impacts the Co...
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Wireless sensor networks(WSN)comprise a set of numerous cheap sensors placed in the target region.A primary function of the WSN is to avail the location details of the event occurrences or the node.A major challenge i...
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Wireless sensor networks(WSN)comprise a set of numerous cheap sensors placed in the target region.A primary function of the WSN is to avail the location details of the event occurrences or the node.A major challenge in WSN is node localization which plays an important role in data gathering *** GPS is expensive and inaccurate in indoor regions,effective node localization techniques are *** major intention of localization is for determining the place of node in short period with minimum *** achieve this,bio-inspired algorithms are used and node localization is assumed as an optimization problem in a multidimensional *** paper introduces a new Sparrow Search Algorithm with Doppler Effect(SSA-DE)for Node Localization in Wireless *** SSA is generally stimulated by the group wisdom,foraging,and anti-predation behaviors of ***,the Doppler Effect is incorporated into the SSA to further improve the node localization *** addition,the SSA-DE model defines the position of node in an iterative manner using Euclidian distance as the fitness *** presented SSA-DE model is implanted in MATLAB *** extensive set of experimentation is carried out and the results are examined under a varying number of anchor nodes and ranging *** attained experimental outcome ensured the superior efficiency of the SSA-DE technique over the existing techniques.
The phrase "Internet of Things"(loT) describes a wide range of actual physical things or gadgets that collect, measure, and wirelessly transmit data about physical properties over the Internet. loT systems h...
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In this era, Peer-to-Peer (P2P) networks have developed as a revolutionized network for data distribution and alternate to traditional client-server network. The features of P2P networks allow a distributed group of u...
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Speech analysis has emerged as a crucial tool in bridging the gap between the real and virtual worlds as the amount of human contact with machines increases. One subfield that has long been investigated in both psychi...
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This research study intends to explore various challenges that humans have encountered as well as any that may arise in the near future. Poor sanitation facility is one of the main causes of malnutrition and it leads ...
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Unwanted plants called weeds commonly appear among crops. These weeds have the potential to drastically lower farm output yield and quality. Unfortunately, most of the time, site-specific weed management is not implem...
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Unwanted plants called weeds commonly appear among crops. These weeds have the potential to drastically lower farm output yield and quality. Unfortunately, most of the time, site-specific weed management is not implemented. This means that a field is treated with a broadcast herbicide spray rather than a specific type of herbicide. Herbicide-resistant weeds have developed as a result of this herbicide's widespread use, which has various negative effects on the environment. This has led to numerous research investigations looking for the best weed control methods. computer vision-based automatic weed detection and identification is one such method. With the help of this method, weeds may be located and identified, and farmers can be advised to use a certain herbicide. Consequently, it's crucial that the correctly recognise and categorise the crops and weeds from the digital photos using a computer vision technology. Deep learning, a type of artificial intelligence, is a rapidly expanding research area at the moment. Its many uses, which incorporate computer vision, include object recognition. The goal of this effort is achieved by combining these two technologies. As an alternative to the system used in the literature, a system for the identification of various crops and weeds has been devised in this research. Digital pictures of the crops and weeds growing in the fields were taken using three separate cameras that were mounted at varied heights from the ground. Digital image properties like texture, colour, and shape were retrieved after the backdrop was removed and used for classification. To accomplish this, access computer vision is utilised to process images, and artificial intelligence is employed to apply transfer learning to an RCNN that automatically recognises plants. The method has an accuracy of 78.10% for the main crop and 53.12% and 44.76% for the two weeds under consideration, according to the results. The coordinates of the weeds are also included in
In recent years wireless sensor networks have helped with automation in many industry domains. Wireless technology cuts cable costs, deployment time and information to transfer and process from source to destination. ...
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Computing devices that can identify various human behaviors or motions may be used to aid individuals in multiple contexts, including sports, healthcare, and interactions between humans and robots. Data readily access...
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Automated brain tumor classification is one among the most complicated and popularly used applications of medical imaging. Manual diagnosis of brain tumors is complex and inefficient. Therefore, identifying the approp...
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