Sumit Kumar

Smart parking management system: a seamless parking solution using YOLO and QR code payment technology

Sumit Kumar, Ruchi Rani, Sanjeev Kumar Pippal

The inefficiencies of traditional parking systems, including manual entry and reliance on sensors, as well as slow payment lines, contribute to congestion and a lower level of user satisfaction. This paper suggests a smart parking management system (SPMS) based on the license …

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Evaluating Open-Source Large Language Models for Technical Telecom Question Answering

Arina Caraus, Alessio Buscemi, Sumit Kumar, Ion Turcanu

Large Language Models (LLMs) have shown remarkable capabilities across various fields. However, their performance in technical domains such as telecommunications remains underexplored. This paper evaluates two open-source LLMs, Gemma 3 27B and DeepSeek R1 32B, on factual and reasoning-based questions derived from …

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Multi-modal Speech Recognition: Integrating Audio and Visual Information with Deep Neural Network

Nabin Pathak, Govinda Shrestha, Surbhi Vijh, Sumit Kumar

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Discrete Artificial Bee Colony Optimization Algorithm for Cyber-attack Detection to Mitigate Credential Stuffing in Cyber Defense

Sumit Kumar, Ketan Anand

Cybersecurity is crucial in our interconnected world. Its importance grows as expertise advances and becomes more prevalent in daily life, safeguarding individuals. Credential stuffing is a sort of hack where attackers utilize usernames and passwords they have obtained earlier to gain unauthorized …

Enhancing Mobile Application Security through Mobile Crowd Sensing and Sourcing Solutions

Rakesh Ranjan, Siddhanta Kumar Singh, Saurabh Dhyani, Doddi Srilatha et autres

The market for Android applications has expanded dramatically, providing users with an ever-expanding array of functionality to meet a range of needs. Because mobile applications are so widely used, users are sharing more sensitive data, so protecting personal data is essential. However, …

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Lightweight ResNet-18 Based Brain Tumor Classification on MRI with Mixed Precision and Augmentation

Chinmay Sanjay Kulaye, Sumit Kumar, Ruchi Rani

In medical imaging, brain tumor identification is a crucial task that has a big influence on early diagnosis and treatment results. A common component of traditional diagnostic techniques is the manual interpretation of CT or MRI scans, which is laborious and prone …

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Adaptive Multi-Modal Dimensionality Reduction Framework for High-Dimensional Streaming Data Clustering

Aditya Narayan, Divyaansh Raj, Sumit Kumar

High-dimensional data clustering faces three critical challenges: increased computational complexity, curse of dimensionality, and degraded clustering performance. We evaluate preprocessing techniques that effectively address these dimensionality-related hurdles while preserving the intrinsic data structure. Our systematic comparison of dimensionality reduction methods reveals that …

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A novel framework GRCornShot for corn disease detection using few shot learning with prototypical network

Ruchi Rani, Jayakrushna Sahoo, Sivaiah Bellamkonda, Sumit Kumar

Precision and timeliness in the detection of plant diseases are important to limit crop losses and maintain global food security. Much work has been performed to detect plant diseases using deep learning methods. However, deep learning techniques demand a large quantity of …

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A method for IoT devices test case generation using language models

Sumit Kumar, Kiran Napte, Ruchi Rani, Sanjeev Kumar Pippal

The rapid growth of IoT and electronic systems has led to complex real-time data processing and management solutions. However, these systems present significant software and hardware testing challenges, often requiring manual, time-consuming testing efforts. To address this, an automated end-to-end testing framework …

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Face Recognition System for Criminal Identification in CCTV Footage Using Keras and OpenCV

Ruchi Rani, Kiran Napte, Sumit Kumar, Sanjeev Kumar Pippal et autres

This paper presents an advanced face recognition system for identifying potential criminals using Closed Circuit Television (CCTV) footage.The model is trained using a diverse dataset comprising facial images with variations in age, ethnicity, gender, lighting conditions, and facial expressions (such as smiling, …

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Cyber security of OT networks: A tutorial, survey of attacks and overview of current state of defense tools, protocols, & challenges

Sumit Kumar, Harsh Vardhan

The convergence of Operational Technology (OT) and Information Technology (IT) under Industry~4.0 has widened the cyber-attack surface of critical infrastructure across manufacturing, energy, transportation, water, and healthcare. This survey synthesizes OT/IT cybersecurity along four axes. First, we taxonomize \emph{attack vectors} that traverse …

Attention-enhanced corn disease diagnosis using few-shot learning and VGG16

Jayakrushna Sahoo, Sivaiah Bellamkonda, Sumit Kumar

Plant Disease Detection in the early stage is paramount. Traditionally, it was done manually by the farmers, which is a laborious and time-intensive task. With the advent of AI, Machine Learning and Deep Learning methods are used to detect and categorize plant …

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