Search Results - "Manimaran, V"

Nanogels as novel drug nanocarriers for CNS drug delivery by Manimaran, V., Nivetha, R. P., Tamilanban, T., Narayanan, J., Vetriselvan, Subramaniyan, Fuloria, Neeraj Kumar, Chinni, Suresh V., Sekar, Mahendran, Fuloria, Shivkanya, Wong, Ling Shing, Biswas, Anupam, Ramachawolran, Gobinath, Selvaraj, Siddharthan

“…Nanogels are highly recognized as adaptable drug delivery systems that significantly contribute to improving various therapies and diagnostic examinations for…”
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Reviewing the literature of 3D printing of bones and cartilage: Evidence and practice by Subramanian, Arunkumar, Mohanbabu, Jaishree, Srinivasan, Trisha, T, Tamilanban, Subramaniyan, Vetriselvan, V, Manimaran, Sekar, Mahendran, Wong, Ling Shing

“…The cutting-edge innovations offer diverse opportunities in medicine; one such inductive approach is 3D bio-printing, in which cells and desired biomaterials…”
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DEVELOPMENT OF FAST-DISSOLVING TABLETS OF AMLODIPINE BESYLATE BY SOLID DISPERSION TECHNOLOGY USING POLOXAMER 407 AND POLOXAMER 188 by V, Manimaran, N, Damodharan

“…Objective: Amlodipine besylate is a calcium channel blocker used in the treatment of hypertension which is practically insoluble in water. The present study…”
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LINEAR FORECASTING NUTRIENT UPTAKE MODEL FOR TEAK (TECTONA GRANDIS) IN EARLY DEVELOPMENTAL STAGES (SEEDLING STAGES) UNDER FERTIGATION SYSTEM by Balasubramanian, A, Anjali, KS, Hari-Prasath, CN, Swathiga, G, Radhakrishnan, S, Sivaprakash, M, Ramah, K, Manimaran, V

“…Teak (Tectona grandis) is a valuable timber yielding species in the world due to its exemplary quality and market value. Though teak plantations twirls…”
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Application of a proanthocyanidin agent to improve the bond strength of root dentin treated with sodium hypochlorite by Manimaran, V Sujatha, Srinivasulu, Sakhamuri, Rajesh Ebenezar, Av, Mahalaxmi, S, Srinivasan, N

“…The objective of this study was to analyze the application of PA agent that improves the bond strength of root dentin treated with NaOCl. Group 1: root canals…”
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Automated plant leaf disease detection and classification using optimal MobileNet based convolutional neural networks by Ashwinkumar, S., Rajagopal, S., Manimaran, V., Jegajothi, B.

“…Agriculture is the major occupation in India and it loses 35% of the crop productivity annually owing to plant diseases. Earlier plant disease detection is a…”
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A Review of Safety, Quality, Regulation, and Delivery Approaches for Phytopharmaceuticals by K, Pavithra, V, Manimaran

“…Phytopharmaceuticals are plant-derived compounds with a wide range of potential health benefits. Their unique characteristics and versatile applications make…”
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An Explainable Approach for Detecting Potato Leaf Disease Using Ensemble Model by M, Muthuraja, N, Shanthi, V, Manimaran, J, Vasanth Babu, R, Manish Kumar, D, Vivekanandhan

“…The potato is one of the most significant crops in the world, yet it is susceptible to a number of diseases, especially early and late blight. Convolutional…”
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Hybrid Technique for Constructing Footprint Extraction System from Satellite Imaginary by Raghavendran, N., Menaga, P., Prabu, V. Vignesh, Manimaran, V., Robinson, Y. Harold, Ramanan, K.

“…The building extraction of the footprint from the satellite imagination has been a research problem that needs to be solved efficiently. The hybrid semantic…”
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GPS-based Arrival Time Prediction for Bus Schedules: Enhancing Commuter Experience by Shanthi, N., Suganthe, R.C., Manimaran, V., Manoj Kumar, P, Kavin Bharathi, A, Mythili, E

“…The use of buses for transportation is significant in contemporary life and is becoming more and more widespread. The usage of private automobiles, fuel…”
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Person Re-Identification Using LBPH and K-Reciprocal Encoding by Manimaran, V., G. Srinivasagan, K.

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CARBON ESTIMATION AND CARBON YIELD TABLE FOR TEAK (TECTONA GRANDIS) AT CAUVERY DELTA ZONE OF TAMIL NADU by Balasubramanian, A, Hari-Prasath, CN, Radhakrishnan, S, Manimaran, V, Swathiga, G

“…Teak plantations are generally managed for timber production and presently there is an increasing interest in understanding the carbon stocks of Teak…”
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Biomass and carbon sequestration potential of plantation trees in foothills of Jakanari Forest at Western Tamil Nadu, India by Prasath, C. N. Hari, Balasubramanian, A., Sivaprakash, M., Radhakrishnan, S., Swathiga, G., Anjali, K. S., Manimaran, V.

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CARBON ESTIMATION AND CARBON YIELD TABLE FOR TEAK (TECTONA GRANDIS) AT CAUVERY DELTA ZONE OF TAMIL NADU by Balasubramanian, A, Hari-Prasath, CN, Radhakrishnan, S, Manimaran, V, Swathiga, G

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Extraction of tamarind seed polysaccharides as source of food and pharmaceutical through non-chemical method by Manimaran, V., Balasubramanian, A., Radhakrishnan, S., Prasath, C. N. Hari, Thirumoorthy, P., Sivaprakash, M., Anjali, K. S., Swathiga, G.

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Enhancing Remote Sensing Image Classification Using Arithmetic Optimization Algorithm with Deep Learning Approach by Shanthi, R., D, Balasubramaniam, Venkatesh, R., Sankari, C., Manimaran, V., Basha, Shaik Hedayath

“…The classification of Remote sensing image (RSI)is a vital task in field of geospatial analysis where aerial or satellite images are classified into predefined…”
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Advancements in Heart Disease Classification: Leveraging Deep Learning Techniques for ECG Analysis by Manimaran, V., Shanthi, N., Aravindhraj, N., Aatarsh, K.M., Adharshini, G., Gokul, P.

“…Heart disease, a global health burden, demands early and accurate detection. While vast medical datasets exist, extracting crucial diagnostic patterns remains…”
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ECG - Driven Heart Disorder Profiler using Machine Learning Techniques by Manimaran, V., Shanthi, N., Aravindhraj, N., Aatarsh, K.M., Adharshini, G., Gokul, P.

“…Right now, heart illness is the driving cause of passing around the world and its frequency is on the rise. To precisely analyze heart illness in its early…”
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Emotion Recognition from Speech - an LSTM approach with the Tess Dataset by Sankara Pandiammal, K, Karishma, S, Harine Sakthe, K, Manimaran, V, Kalaiselvi, S, Anitha, V

“…The research provides the analysis of speech emotions using a dataset comprising audio recordings, leveraging the TESS dataset and Long Short-Term Memory…”
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