Search Results - "Kakarla, Jagadeesh"

Three level automatic segmentation of optic disc using LAB color space contours and morphological operation by Prakash, Shree, Kakarla, Jagadeesh

“…Abstract Fundus disorders like Glaucoma are a serious health risk that affects people all over the world, lowering their quality of life. Optic disc (OD)…”
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Multi-class brain tumor classification using residual network and global average pooling by Kumar, R Lokesh, Kakarla, Jagadeesh, Isunuri, B Venkateswarlu, Singh, Munesh

“…A rapid increase in brain tumor cases mandates researchers for the automation of brain tumor detection and diagnosis. Multi-tumor brain image classification…”
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Three‐class brain tumor classification from magnetic resonance images using separable convolution based neural network by Isunuri, Bala Venkateswarlu, Kakarla, Jagadeesh

“…Summary Brain cancer is one of the deadliest hazards in the world and hence tumor classification became a dominant task in brain tumor diagnosis. There is a…”
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A scalable and energy‐efficient MAC protocol for sensor and actor networks by Bhola, Jyoti, Soni, Surender, Kakarla, Jagadeesh

“…Summary A scalable energy‐efficient MAC protocol is proposed for wireless sensor and actor networks (WSAN) to improve the network performance. Actor's…”
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Simple, secure, and lightweight mechanism for mutual authentication of nodes in tiny wireless sensor networks by Jain, Usha, Hussain, Muzzammil, Kakarla, Jagadeesh

“…Summary Wireless sensor networks (WSNs) are widely used in large areas of applications; due to advancements in technology, very tiny sensors are readily…”
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Three‐class classification of brain magnetic resonance images using average‐pooling convolutional neural network by Kakarla, Jagadeesh, Isunuri, Bala Venkateswarlu, Doppalapudi, Krishna Sai, Bylapudi, Karthik Satya Raghuram

“…Brain tumor image classification is one of the predominant tasks of brain image processing. The three‐class brain tumor classification becomes a trivial task…”
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Fast brain tumour segmentation using optimized U-Net and adaptive thresholding by Isunuri, Bala Venkateswarlu, Kakarla, Jagadeesh

“…Brain tumour segmentation evolved as the dominant task in brain image processing. Most of the contemporary research proposals devise deep neural networks and…”
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Capacity and Frequency Optimization of Wireless Backhaul Network Using Traffic Forecasting by Mahmood, Atif, Mat Kiah, Miss Laiha, Reza Z'Aba, Muhammad, Qureshi, Adnan N., Kassim, Muhammad Shahreeza Safiruz, Azizul Hasan, Zati Hakim, Kakarla, Jagadeesh, Sadegh Amiri, Iraj, Azzuhri, Saaidal Razalli

“…Telecom operators are aiming to provide high-grade data, multimedia applications and low latency videos for smart devices. As today's mobile data is…”
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Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model by Jasim, Ahmed Abdulhadi, Idris, Mohd Yamani Idna Bin, Azzuhri, Saadial Razalli Bin, Issa, Noor Riyadh, Mohamed Noor, Noorzaily Bin, Kakarla, Jagadeesh, Sadegh Amiri, Iraj

“…Wireless sensor networks (WSNs) consist of a large number of sensor nodes that are distributed to capture the information about an area of interest. In WSN,…”
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EfficientNet and mixed convolution network for three-class brain tumor magnetic resonance image classification by Isunuri, Bala Venkateswarlu, Kakarla, Jagadeesh

“…The classification of brain tumor images is the prevalent task in computer-aided brain tumor diagnosis. Recently, three-class classification has become a…”
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Weather image classification using EfficientNet and Dual Attention Block by Rani, Rella Usha, Kakarla, Jagadeesh, Sundar, B

“…Classification of Weather images is the dominant research task in weather classification. Especially for applications like climate forecasting, intelligent…”
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EfficientNet and multi-path convolution with multi-head attention network for brain tumor grade classification by Isunuri, B. Venkateswarlu, Kakarla, Jagadeesh

“…Grade classification is a challenging task in brain tumor image classification. Contemporary models employ transfer learning technique to attain better…”
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Three-class brain tumor classification using deep dense inception residual network by Kokkalla, Srinath, Kakarla, Jagadeesh, Venkateswarlu, Isunuri B., Singh, Munesh

“…Three-class brain tumor classification becomes a contemporary research task due to the distinct characteristics of tumors. The existing proposals employ deep…”
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COVID-19 detection from chest x-ray using MobileNet and residual separable convolution block by Tangudu, V. Santhosh Kumar, Kakarla, Jagadeesh, Venkateswarlu, Isunuri Bala

“…A newly emerged coronavirus disease affects the social and economical life of the world. This virus mainly infects the respiratory system and spreads with…”
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Ensemble coupled convolution network for three-class brain tumor grade classification by Isunuri, Bala Venkateswarlu, Kakarla, Jagadeesh

“…The brain tumor grade classification is one of the prevalent tasks in brain tumor image classification. The existing models have employed transfer learning and…”
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A delay and energy aware coordination mechanism for WSAN by Kakarla, Jagadeesh, Majhi, Banshidhar, Battula, Ramesh

“…Summary In this paper, a delay and energy aware coordination mechanism (DEACM) has been devised for wireless sensor–actor networks. In DEACM, a two‐level…”
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IAMMAC: an interference-aware multichannel MAC protocol for wireless sensor-actor networks by Kakarla, Jagadeesh, Majhi, Banshidhar, Battula, Ramesh Babu

“…Summary In this paper, we discuss an interference aware multichannel MAC (IAMMAC) protocol assign channels for communication in wireless sensor‐actor networks…”
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Face mask detection using MobileNet and Global Pooling Block by Venkateswarlu, Isunuri B, Kakarla, Jagadeesh, Prakash, Shree

“…Coronavirus disease is the latest epidemic that forced an international health emergency. It spreads mainly from person to person through airborne…”
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Comparative Analysis of Routing Protocols in Wireless Sensor–Actor Networks: A Review by Kakarla, Jagadeesh, Majhi, Banshidhar, Babu Battula, Ramesh

“…Wireless sensor–actor networks (WSANs) are applicable in versatile domains ranging from very common to those which demand reliable actions in the event area…”
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An energy efficient location estimation technique for wireless sensor networks by Kakarla, Jagadeesh

“…In wireless sensor networks (WSNs), sensors are deployed in a harsh conditions to monitor the environment. They sense the target location and transfer the…”
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