Mukesh Prasad
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View article: Beyond Pixels: A Training-Free, Text-to-Text Framework for Remote Sensing Image Retrieval
Beyond Pixels: A Training-Free, Text-to-Text Framework for Remote Sensing Image Retrieval Open
Semantic retrieval of remote sensing (RS) images is a critical task fundamentally challenged by the \textquote{semantic gap}, the discrepancy between a model's low-level visual features and high-level human concepts. While large Vision-Lan…
View article: Validation of Contextual Model Principles through Rotated Images Interpretation
Validation of Contextual Model Principles through Rotated Images Interpretation Open
View article: Understanding User Preferences for Interaction Styles in Conversational Recommender System: The Predictive Role of System Qualities, User Experience, and Traits
Understanding User Preferences for Interaction Styles in Conversational Recommender System: The Predictive Role of System Qualities, User Experience, and Traits Open
View article: Evaluating User Experience in Conversational Recommender Systems: A Systematic Review Across Classical and LLM-Powered Approaches
Evaluating User Experience in Conversational Recommender Systems: A Systematic Review Across Classical and LLM-Powered Approaches Open
View article: Unplug, Mute, Avoid: Investigating smart speaker users' privacy protection behaviours in Saudi Homes
Unplug, Mute, Avoid: Investigating smart speaker users' privacy protection behaviours in Saudi Homes Open
View article: Sketch to photo recognition using IF and Fuzzy minimal structure oscillation in the sift domain
Sketch to photo recognition using IF and Fuzzy minimal structure oscillation in the sift domain Open
The use of face recognition based on numerous sketches is crucial for both law enforcement and digital entertainment. Due to lack of information given by the victim, it is difficult to identify faces from several sketches. In this study, w…
View article: RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering
RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering Open
View article: Electricity Price Prediction in the Australian National Electricity Market: A Comparative Study of Machine Learning Models Under Market Volatility
Electricity Price Prediction in the Australian National Electricity Market: A Comparative Study of Machine Learning Models Under Market Volatility Open
The growing integration of variable renewable energy sources has intensified price volatility in the Australian National Electricity Market (NEM), creating operational challenges for market operators, traders, and battery energy storage sy…
View article: YI7 A machine learning approach to differentiating stroke from vestibular neuritis using history, examination and vestibular tests
YI7 A machine learning approach to differentiating stroke from vestibular neuritis using history, examination and vestibular tests Open
View article: 3475 Differentiating stroke from vestibular neuritis using only the video head impulse test: machine learning models versus expert clinicians
3475 Differentiating stroke from vestibular neuritis using only the video head impulse test: machine learning models versus expert clinicians Open
View article: DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup
DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup Open
Recent vision-language models (e.g., CLIP) have demonstrated remarkable class-generalizable ability to unseen classes in few-shot anomaly segmentation (FSAS), leveraging supervised prompt learning or fine-tuning on seen classes. However, t…
View article: RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering
RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering Open
Visual Question Answering (VQA) in remote sensing (RS) is pivotal for interpreting Earth observation data. However, existing RS VQA datasets are constrained by limitations in annotation richness, question diversity, and the assessment of s…
View article: Understanding Privacy Protection Behaviour of Voice-enabled IoT devices Users: A Systematic Review
Understanding Privacy Protection Behaviour of Voice-enabled IoT devices Users: A Systematic Review Open
Smart speakers, though prevalent in homes due to their intuitive interfaces, bring notable privacy challenges. To understand how users navigate these issues, we conducted a systematic review across five databases. Of the studies reviewed, …
View article: Marketing-Oriented HR Practices and Their Impact on Organizational Overall Performance
Marketing-Oriented HR Practices and Their Impact on Organizational Overall Performance Open
The present article discusses how the practice of marketing-oriented human resource (HR) affects the overall organizational performance. Combining of the HR and marketing strategies has also emerged to be part and parcel of the success of …
View article: Trust Evaluation Framework for Social Review Platforms
Trust Evaluation Framework for Social Review Platforms Open
—Social Networks represent a cornerstone of our daily life, where the so-called social reviewing systems (SRSs) play a key role in our daily lives and are used to access data typically in the form of reviews. Due to their importance, socia…
View article: IP-VQA Dataset: Empowering Precision Agriculture with Autonomous Insect Pest Management through Visual Question Answering
IP-VQA Dataset: Empowering Precision Agriculture with Autonomous Insect Pest Management through Visual Question Answering Open
View article: DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning
DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning Open
Medical image captioning via vision-language models has shown promising potential for clinical diagnosis assistance. However, generating contextually relevant descriptions with accurate modality recognition remains challenging. We present …
View article: AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions
AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions Open
Accurate and automated captioning of aerial imagery is crucial for applications like environmental monitoring, urban planning, and disaster management. However, this task remains challenging due to complex spatial semantics and domain vari…
View article: Vision Transformers with Autoencoders and Explainable AI for Cancer Patient Risk Stratification Using Whole Slide Imaging
Vision Transformers with Autoencoders and Explainable AI for Cancer Patient Risk Stratification Using Whole Slide Imaging Open
Cancer remains one of the leading causes of mortality worldwide, necessitating accurate diagnosis and prognosis. Whole Slide Imaging (WSI) has become an integral part of clinical workflows with advancements in digital pathology. While vari…
View article: Seamless Travel Planner: Turning Miles into Memories with Smart Navigation
Seamless Travel Planner: Turning Miles into Memories with Smart Navigation Open
The Seamless Travel Planner is an innovative, all-in-one platform designed to transform the way users plan, manage, and experience their trips. This comprehensive system allows travellers to effortlessly select pickup locations, destinatio…
View article: Enhancing Sentiment Analysis through Multimodal Fusion: A BERT-DINOv2 Approach
Enhancing Sentiment Analysis through Multimodal Fusion: A BERT-DINOv2 Approach Open
Multimodal sentiment analysis enhances conventional sentiment analysis, which traditionally relies solely on text, by incorporating information from different modalities such as images, text, and audio. This paper proposes a novel multimod…
View article: Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing Open
Pixel-level segmentation is essential in remote sensing, where foundational vision models like CLIP and Segment Anything Model(SAM) have demonstrated significant capabilities in zero-shot segmentation tasks. Despite their advances, challen…
View article: Separation of stroke from vestibular neuritis using the video head impulse test: machine learning models versus expert clinicians
Separation of stroke from vestibular neuritis using the video head impulse test: machine learning models versus expert clinicians Open
Background Acute vestibular syndrome usually represents either vestibular neuritis (VN), an innocuous viral illness, or posterior circulation stroke (PCS), a potentially life-threatening event. The video head impulse test (VHIT) is a quant…
View article: Blockchain Models Applications: A Comparative Study on Security
Blockchain Models Applications: A Comparative Study on Security Open
International audience
View article: Deep Learning Approaches for Battery Capacity and State of Charge Estimation with the NASA B0005 Dataset
Deep Learning Approaches for Battery Capacity and State of Charge Estimation with the NASA B0005 Dataset Open
View article: A Domain-Tailored Machine Learning Framework for Predicting Software Requirements Change Impact
A Domain-Tailored Machine Learning Framework for Predicting Software Requirements Change Impact Open
View article: Blockchain Models Applications: A Comparative Study on Security
Blockchain Models Applications: A Comparative Study on Security Open
View article: STARS—Deep Diversified Analysis of Occlusion-Resiliency for Robot Vision in Medical Contexts
STARS—Deep Diversified Analysis of Occlusion-Resiliency for Robot Vision in Medical Contexts Open
Occlusion is a critical challenge in Robot vision. Unfavorable circumstances including occlusions must be considered when integrating action recognition techniques into an autonomous robotic system. It becomes more critical when the recogn…
View article: AI-Powered Unit Test Generation via Multi-LLM Chaining: A Case Study With GPT-4o, Gemini, and Claude-3.5
AI-Powered Unit Test Generation via Multi-LLM Chaining: A Case Study With GPT-4o, Gemini, and Claude-3.5 Open
View article: Explainable AI Methods for Multi-Omics Analysis: A Survey
Explainable AI Methods for Multi-Omics Analysis: A Survey Open
Advancements in high-throughput technologies have led to a shift from traditional hypothesis-driven methodologies to data-driven approaches. Multi-omics refers to the integrative analysis of data derived from multiple 'omes', such as genom…