D. Mansoor Hussain

Streamlined attention for insect pest classification: leveraging FSAN

D. Mansoor Hussain, A. Benazir Begum, N. Karthikeyan

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Engineering PSMA-targeted nanoparticles co-encapsulating mitoxantrone and indocyanine green for precise combinatory therapy in prostate cancer

Sobia Khan, D. Mansoor Hussain, Amarachi Obinyima, Clara Pina-Coronado et autres

Prostate cancer is the 2nd most common cancer in men worldwide. Chemotherapeutic treatment of prostate cancer with mitoxantrone (MTX) has limited efficacy due to severe side effects in which cardiotoxicity and myelosuppression are the two major causes of its dose-limiting toxicity. This …

Advanced Hybrid Optimization Algorithms for Energy Efficient Cloud Resource Allocation

M. Suresh Kumar, D. Mansoor Hussain, M. Rohini, S. Oswalt Manoj

Abstract Cloud computing is highly sought after for its dynamic resource allocation capabilities and pay‐per‐use model. However, previous research has identified several challenges, such as lower coverage, high integration rates, longer computation times, and complex operators, all of which are associated with …

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Energy Aware Reliable Sleep Wakeup based Clustering Scheme in WSN

Thinakaran Vasantha Chithra, K. Karthikeyan, D. Mansoor Hussain, N. Muthukumaran

Wireless sensor networks (WSNs) are composed of spatially dispersed nodes monitored by sensors that communicate their collected data to a sink node. The primary method used by the WSN to spread the message throughout the whole network is flooding. Retransmission and rebroadcasting …

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Sign Language Detection Using Deep Learning

M Kirthiga, Miriyala Vamsi Krishna, Venkata Naveen Vadlamudi, Makani Venkata Sai Kiran et autres

Abstract: Millions of citizens worldwide suffer from deaf and hard of hearing (DHH), a communication impairment that makes speaking difficult and necessitates the use of sign language. This communication gap frequently hampers access to education and opportunities for employment. Although AI-driven technologies …

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Crop Information Retrieval Framework Based on LDW-Ontology and SNM-BERT Techniques

K. Ezhilarasi, D. Mansoor Hussain, M Sowmiya, N. Krishnamoorthy

Currently, on the Internet, the information about agriculture is augmenting extremely; thus, searching for precise, relevant data of various details is highly complicated. To deal with particular difficulties like lower relevancy rate, false detection of retrieval resources, poor similarity rate, unstructured data …

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An In-Depth Analysis of Automated Health Monitoring Systems for Elderly Care

Benazir Begum A, D. Mansoor Hussain

People's inherent ability tends to deteriorate as they get older, and their health problems get more complicated and chronic. As people get older, multimorbidity—the simultaneous occurrence of many chronic conditions becomes more common. Health systems around the world struggle to adapt to …

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A Novel Usage of Artificial Intelligence and Internet of Things in Remote‐Based Healthcare Applications

V. Arulkumar, D. Mansoor Hussain, P. Vivekanandan

A whole host of apps now use IoT (Internet of Things). Smart car parks, smart homes, intelligent cities, smart environments, manufacturing areas, agricultural fields, and health management processes are all implementations of the IoT. In healthcare, such an application makes medical instruments …

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Industrial Centric Node Localization and Pollution Prediction Using Hybrid Swarm Techniques

R. Saravana Ram, Mandeep Kumar, N. Krishnamoorthy, A. Baseera et autres

Major fields such as military applications, medical fields, weather forecasting, and environmental applications use wireless sensor networks for major computing processes. Sensors play a vital role in emerging technologies of the 20th century. Localization of sensors in needed locations is a very …

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Ensemble Nonlinear Support Vector Machine Approach for Predicting Chronic Kidney Diseases

S. Arun Prakash, P. Raja, A. Baseera, D. Mansoor Hussain et autres

Urban living in large modern cities exerts considerable adverse effects on health and thus increases the risk of contracting several chronic kidney diseases (CKD). The prediction of CKDs has become a major task in urbanized countries. The primary objective of this work …

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Efficient Bone Tumor Detection and Classification using Fuzzy C Means Clustering Algorithm

D. Mansoor Hussain, M Anuroopa, A Dharshini, G Durganandini

An irregular development of a suspicious tissue that may appear in all of the organs of the human body is a tumour. Inside the human body, there are several types of tumours found, such as breast cancer, bone cancer, brain tumour, etc. …

Enhanced development of communication between the network and the end user by eliminating the interference signals in MIMO channel

B. Amutha, A. Christy Jeba Malar, Karthick Nanmaran, D. Mansoor Hussain et autres

Abstract Though the key technology for 5G communication is the massive Multiple input and multiple output (MIMO), it has a major drawback when the user generated inference signals are to be handled by several other users. When these interference signals are used …

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