Explanipedia

Improving English Oral Proficiency: A Comparison of Online and Conventional English Teaching for Non-Native University Learners Open

Y Zhang, Gopal Prasad Pandey, N. Ashokkumar · 2025

This study explores student perceptions of online versus conventional English teaching effectiveness methodologies on oral proficiency development among Chinese non-native university learners, addressing the critical need for evidence base…

Toward LLM-Supported Automated Assessment of Critical Thinking Subskills Open

Marisa C. Peczuh, N. Ashokkumar, Ryan S. Baker, Blair Lehman, Danielle Eisenberg , et al. · 2025

Critical thinking represents a fundamental competency in today's education landscape. Developing critical thinking skills through timely assessment and feedback is crucial; however, there has not been extensive work in the learning analyti…

Analysis of Cognitive Science and Learning Environments in Educational Institutions Open

N. Ashokkumar, D. Neelamegam, M. Bharathi, Arun Vijayakumar · 2025

Cognitive science enhances learning outcomes and teaching practices in educational institutions. Also, it influences the vital process of the human mind, such as perception, memory, reasoning, and learning are briefed. Cognitive science ha…

Towards a Blunder-Free Society: A Game-Theoretic Framework for Optimizing Collective Outcomes Through Blunder Avoidance and Cooperative Strategies Open

N. Ashokkumar · 2025

Beyond the Margins – Ectopic Cilia: A Clinical Rarity Open

C Balakumaran, Shreya Srinivasan, N. Ashokkumar, M. Deepthi · 2025

Quantum driven deep learning for enhanced diabetic retinopathy detection Open

M. Mounika, L. Sahithi, K.P. Lakshmi, K. Praveenya, N. Ashokkumar · 2024

Traditional convolutional neural networks (CNNs) have shown potential for recognizing retinopathy caused by diabetes (DR). However, developing quantum computing has the possibility for improved feature representation. We propose a hybrid a…

POWER ENERGY AND POWER AREA PRODUCT SIMULATION ANALYSIS OF MASTER-SLAVE FLIP-FLOP Open

P. Nagarajan, T. Kavitha, N. Ashokkumar, Alexander Edward · 2023

Flip-flops are the fundamental building blocks of the data path structure. It is a key component of digital circuits and systems. This work offers an exclusive master-slave flip-flop topology by ensuing clocked complementary metal oxide se…

Nine level switched capacitor inverter with level shifted pulse width modulation approach Open

Arun Vijayakumar, T. Nageswara Prasad, S. Prabhu, N. Ashokkumar · 2023

This article proposes a nine-level switched capacitor inverter (NLSCI) with a minimum number of switches. In recent years, switching capacitor (SC) multilevel inverters (MLIs) have become one of the most common inverter topologies. These p…

Combining Handcrafted Features and Deep Learning for Automatic Classification of Lung Cancer on CT Scans Open

Pallavi Sagar Deshpande, Mohammed Wasim Bhatt, Santaji Krishna Shinde, Neelam Labhade-Kumar, N. Ashokkumar , et al. · 2023

On a global scale, lung cancer is responsible for around 27% of all cancer fatalities. Even though there have been great strides in diagnosis and therapy in recent years, the five-year cure rate is just 19%. Classification is crucial for d…

A CNN CLASSİFİCATİON APPROACH FOR POTATO PLANT LEAF DİSEASE DETECTİON Open

M. Mounika, K.P. Lakshmi, N. Ashokkumar · 2023

The timely detection and management of plant diseases is critical in the agricultural industry. Among these, potato leaf diseases can have a major impact on crop productivity and quality. This research addresses the important requirement f…

“White Honey-Comb” Pattern: A Possible Dermoscopic Clue for Vesicular Stage of Incontinentia Pigmenti Open

K. Manoharan, Shreya Srinivasan, N. Ashokkumar, O. Kulkarni · 2023

Proficient matrix codes for error detection and correctionin 8-port network on chip routers Open

Neelima Koppala, N. Ashokkumar, Satyam Satyam, Neeruganti Vikram Teja · 2022

This paper verifies the applicability of the proposed code to dynamic Network on Chips that have variable faulty blocks with runtime suggesting an online error detection mechanism with adaptive routing algorithm that bypasses faulty compon…

A Deep Learning Technique for Detecting High Impedance Faults in Medium Voltage Distribution Networks Open

S. Lavanya, S. Prabakaran, N. Ashokkumar · 2022

Utility companies always struggle with the High Impedance Fault (HIF) in the electrical distribution systems. In this article, the current signal is seen in situations involving 10,400 different samples, with and without HIF, like linear, …

Architecture of Network‐on‐Chip (NoC) for Secure Data Routing Using 4‐H Function of Improved TACIT Security Algorithm Open

N. Ashokkumar, G. Shyni, Geno Peter, Albert Alexander Stonier, Vivekananda Ganji · 2022

In the technical world, NoC (network‐on‐chip) is a noticeable communication subsystem based on integrated circuits. It is mainly used in improving the performance of system‐on‐chip (SoC) by bridging the intellectual properties in the SoCs.…

Investigating a fast-growing nodule on the face: A case of primary cutaneous marginal zone lymphoma Open

N. Ashokkumar, Sane Roja Renuka, Celestin Geo Danny, Richa Jotwani · 2022

Primary cutaneous B-cell lymphomas are non-Hodgkin lymphomas that present in the skin without evidence of extracutaneous involvement at diagnosis. There are three types of primary cutaneous B-cell lymphomas: primary cutaneous marginal zone…

[Retracted] Deep Learning Mechanism for Predicting the Axillary Lymph Node Metastasis in Patients with Primary Breast Cancer Open

N. Ashokkumar, S. Meera, P. Anandan, Mantripragada Yaswanth Bhanu Murthy, K. Kalaivani , et al. · 2022

The second largest cause of mortality worldwide is breast cancer, and it mostly occurs in women. Early diagnosis has improved further treatments and reduced the level of mortality. A unique deep learning algorithm is presented for predicti…

Development and testing of implanted carbon electrodes for electromagnetic field mapping during neuromodulation Open

N. Ashokkumar, Munish Chauhan, Sri Kirthi Kandala, Sung‐Min Sohn, Rosalind Sadleir · 2020

Purpose Deep brain stimulation electrodes composed of carbon fibers were tested as a means of administering and imaging magnetic resonance electrical impedance tomography (MREIT) currents. Artifacts and heating properties of custom carbon‐…

SMART FARMING FIELD OBSERVATION USING EMBEDDED SYSTEMS Open

N. Ashokkumar, P. Krishnagandhi, Balajee Kannan, Y. David Solomon Raju · 2020

Farming gives as one of the monetary strong establishment to most of the provincial India. Dominant part of the individuals in rustic spots set up their own homesteads for their job. The ordinary strategies that they use require a great de…

Automatic Identification of Maritime Boundary Alert System using GPS Open

A. Kavitha, N. Ashokkumar, M. Revathy · 2018

Global Positioning System (GPS) is being used more and more for a wide range of applications. This is a reliable position, navigation for end-users of anywhere in the world or around the globe, on any weather, day or night. The synchroniza…

Design of Compresion Sensor by Zno Substrate using Precipitation Method Open

A. Kavitha, J. N. Swaminathan, N. Ashokkumar · 2018

The Zinc Oxide nanoparticles are synthesized by the precipitation method using zinc acetate dehydrate and sodium hydroxide. The significance of characterization techniques like AFM, SEM, FTIR Spectrum and XRD for the prepared nanomaterial …

Accelerating acquisition strategies for low-frequency conductivity imaging using MREIT Open

Yizhuang Song, Jin Keun Seo, Munish Chauhan, Aprinda Indahlastari, N. Ashokkumar , et al. · 2018

We sought to improve efficiency of magnetic resonance electrical impedance tomography data acquisition so that fast conductivity changes or electric field variations could be monitored. Undersampling of k-space was used to decrease acquisi…

Multishot echo‐planar MREIT for fast imaging of conductivity, current density, and electric field distributions Open

Munish Chauhan, Rohini Vidya Shankar, N. Ashokkumar, Vikram D. Kodibagkar, Rosalind Sadleir · 2017

Purpose Magnetic resonance electrical impedance tomography (MREIT) sequences typically use conventional spin or gradient echo–based acquisition methods for reconstruction of conductivity and current density maps. Use of MREIT in functional…

A novel 3D NoC scheme for high throughput unicast and multicast routing protocols Open

N. Ashokkumar, A. Kavitha · 2016

Novel 3D-NoC architecture has been designed by expanding the impression of lossless compression of data.The proposed design shows remarkable results in terms of power efficiency and network throughput.In this scheme, proposed for 3D-NoC, t…

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