M. Venkata Subbarao
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View article: AI-Driven Clinical Decision Support System for Automated Ventriculomegaly Classification from Fetal Brain MRI
AI-Driven Clinical Decision Support System for Automated Ventriculomegaly Classification from Fetal Brain MRI Open
Fetal ventriculomegaly (VM) is a condition characterized by abnormal enlargement of the cerebral ventricles of the fetus brain that often causes developmental disorders in children. Manual segmentation and classification of ventricular str…
View article: DESIGN AND DEVELOPMENT OF A NOVEL MICROWAVE SENSOR FOR BIOCHEMICAL DETECTION
DESIGN AND DEVELOPMENT OF A NOVEL MICROWAVE SENSOR FOR BIOCHEMICAL DETECTION Open
A non-invasive microwave sensor with a Square Split Ring Resonator (S-SRR) for sensing applications is proposed in this paper. With the rapid advancement of sensing systems and emerging technologies, there is a high demand for efficient an…
View article: DESIGN OF A 2.45 GHZ COMPACT WEARABLE ANTENNA FOR WIRELESS BODY AREA NETWORKS AND INDUSTRIAL WIRELESS APPLICATIONS
DESIGN OF A 2.45 GHZ COMPACT WEARABLE ANTENNA FOR WIRELESS BODY AREA NETWORKS AND INDUSTRIAL WIRELESS APPLICATIONS Open
This paper presents designing and optimizing a compact wearable antenna in Wireless Body Area Networks (WBANs) and Industrial Wireless Applications. The antenna is specifically developed to operate at a frequency of 2.45GHz, which is commo…
View article: FPGA IMPLEMENTATION OF HYBRID ADDER
FPGA IMPLEMENTATION OF HYBRID ADDER Open
In applications of Digital Electronics, the primary aim is precision, emphasizing accurate outcomes while concurrently minimizing power dissipation and latency. This precision is especially crucial in arithmetic operations, notably additio…
View article: AREA AND POWER EFFICIENT LEAST MEAN SQUARE ADAPTIVE FILTER USING APPROXIMATE ARITHMETIC
AREA AND POWER EFFICIENT LEAST MEAN SQUARE ADAPTIVE FILTER USING APPROXIMATE ARITHMETIC Open
The efficiency of a digital signal processing system heavily relies on the performance of multipliers, which are crucial arithmetic functional units. Approximate arithmetic techniques have emerged as a promising approach to significantly r…
View article: NOVEL MICROWAVE SENSOR FOR ENHANCED BIOCHEMICAL DETECTION AND PREDICTION THROUGH MACHINE LEARNING FORINDUSTRIAL APPLICATIONS
NOVEL MICROWAVE SENSOR FOR ENHANCED BIOCHEMICAL DETECTION AND PREDICTION THROUGH MACHINE LEARNING FORINDUSTRIAL APPLICATIONS Open
This paper presents a novel sensor design that incorporates a microstrip patch antenna accompanied by a ground plane integrating a complementary split-ring resonator (CSRR). Integration of a circular CSRR into the microchip antenna has the…
View article: MACHINE LEARNING ALGORITHMS FOR ERYTHEMATO-SQUAMOUS DISEASE CLASSIFICATION: FEATURE RANKINGS ANDPERFORMANCE ANALYSIS
MACHINE LEARNING ALGORITHMS FOR ERYTHEMATO-SQUAMOUS DISEASE CLASSIFICATION: FEATURE RANKINGS ANDPERFORMANCE ANALYSIS Open
Erythemato-squamous diseases (ESDs), also known as erythrodermas, are a group of dermatological disorders characterized by both redness (erythema) and scaling (squamous) of the skin. These conditions can have various causes and implication…
View article: Speech Emotion Recognition Using Ensemble Classifiers
Speech Emotion Recognition Using Ensemble Classifiers Open
Human emotions play vital role in everyday communal relations. Speech Emotion Recognition (SER) has numerous applications such as clinical studies, commercial applications, entertainment, computer games and audio surveillance. For online l…
View article: Validated stability indicating RP-HPLC method for the determination of dolutegravir and rilpivirine in bulk and pharmaceutical dosage forms
Validated stability indicating RP-HPLC method for the determination of dolutegravir and rilpivirine in bulk and pharmaceutical dosage forms Open
For simultaneous analysis of Dolutegravir and Rilpivirine utilizing RP-HPLC, an accurate, rapid, economical, quick and reliable assay technique was developed and tested. Successful chromatographic detachment using acetonitrile and 0.1 perc…
View article: Synthesis, molecular docking studies, anticancer and antibacterial activities of some novel Dinuclear Nickel (II) Complexes 2, 4-Dihydroxy acetyl-4-Hydroxybenzoic Hydrazone
Synthesis, molecular docking studies, anticancer and antibacterial activities of some novel Dinuclear Nickel (II) Complexes 2, 4-Dihydroxy acetyl-4-Hydroxybenzoic Hydrazone Open
Substituted 2, 4-Dihydroxyacetyl-4-Hydroxybenzoic Hydrazone, which is known for their versatile biological activities, have been reported to show significant anti lung cancer activities. In the present study, a novel series of some 2, 4-Di…
View article: Effect of Nitrogen Fertilizer Doses and Pre Sowing Seed Treatments on Yield and Yield Attributing Characters in Foxtail Millet (Setaria italica L. Beauv)
Effect of Nitrogen Fertilizer Doses and Pre Sowing Seed Treatments on Yield and Yield Attributing Characters in Foxtail Millet (Setaria italica L. Beauv) Open
Background: Foxtail millet is considered as nutri-cereal and source of food, feed and fodder. Though it is grown in marginal conditions it can give the best production with the proper nutrient management for its cultivation. The objective …
View article: K- Nearest Neighbors based Automatic Modulation Classifier for Next Generation Adaptive Radio Systems
K- Nearest Neighbors based Automatic Modulation Classifier for Next Generation Adaptive Radio Systems Open
This paper presents a verity of K-Nearest Neighbors (KNN) classifiers along with different statistical features in order to classify MPSK and MQAM signals.Further, the performance of proposed KNN classifiers with different values of 'K' an…
View article: Spectrum Sensing using AMC and TFT
Spectrum Sensing using AMC and TFT Open
Spectrum Sensing (SS) is a foremost step to implement next generation Cognitive Radio (CR) systems. The primary goal of a SS technique is to examine whether the Primary User (PU) is in active state or not by analyzing the surrounding radio…
View article: Performance Analysis of Automatic Modulation Classification using Time Frequency Transforms under Non-Ideal Channel Conditions
Performance Analysis of Automatic Modulation Classification using Time Frequency Transforms under Non-Ideal Channel Conditions Open
Classification of different analog and digital modulation classes using Time-Frequency Transforms (TFTs) through MST and MFSWT under ideal channel conditions is presented in this paper. It also deals with performance analysis of proposed M…