Explanipedia

A Residual Network and Bi-directional LSTM based Hybrid Approach to Remote Sensing Image Captioning Open

R. Sharmikha Sree, Mettu Siddhartha, P. Krishna Reddy, B. Kruthika, Rimjhim Padam Singh · 2025

Evaluating the Effectiveness of Leading Job Portals: A Cross-Platform Analysis Open

Mettu Siddhartha, M. Swathi Sree, P. Krishna Reddy, Bharathan Balaji, Parlapalli Bhargav Reddy , et al. · 2025

Location and Intent Privacy Preservation for Spatial Range Queries in a Mobile Network Open

Shadaab Siddiqie, P. Krishna Reddy, A. Srinivas Reddy · 2025

Location-based services (LBSs) in a mobile network environment that provide personalized and timely information to users entail privacy concerns due to the leakage of user locations to adversaries. In the literature, several cloaking-based…

Citation Anchor Text for Improving Precedent Retrieval: An Experimental Study on Indian Legal Documents Open

Ganapati M. Patil, Bhoomeendra Singh Sisodiya, P. Krishna Reddy, K.V.K. Santhy · 2024

In the legal domain, research efforts are being made to enhance precedent retrieval by exploiting features based on meta-data, catchphrases, citations, sentences, paragraphs, etc. It is reported in the legal domain that the text surroundin…

A GIS Approach for Spatial Analysis of Traffic Accidents in the city of Hyderabad Open

Nagulamalyala Saikrishna, P. Krishna Reddy · 2024

Hyderabad is a rapidly growing city and one of Asia’s fastest growing cities which also resulting in led to challenges such as, Traffic congestion and increasing in traffic accident rates continuously every year. Identifying hotspots is a …

Exploring Resourcefulness of the Paragraph for PrecedenceRetrieval in Legal Documents Open

Bhoomeendra Singh Sisodiya, Narendra Babu Unnam, P. Krishna Reddy, K.V.K. Santhy · 2024

Developing computational methods for efficiently extracting relevant legal information to aid legalpractitioners is an active research area. In this regard, research efforts are being made to developefficient methods by leveraging differen…

Introduction to the special issue on PAKDD’2021 Open

P. Krishna Reddy · 2024

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An Effective Diabetes Prediction System using Random Forest Algorithm Open

P. Krishna Reddy · 2023

<p>Diabetes is a prevalent metabolic disorderthat affects a significant number of people globally.Timelydetectionandtreatmentofdiabetescanprevent complications and improve health outcomes.Thehealthcareindustryisfacinganincreasingdema…

Analysing the Resourcefulness of the Paragraph for Precedence Retrieval Open

Bhoomeendra Singh Sisodiya, Narendra Babu Unnam, P. Krishna Reddy, A. Das, K. V. K. Santhy , et al. · 2023

Developing methods for extracting relevant legal information to aid legal practitioners is an active research area. In this regard, research efforts are being made by leveraging different kinds of information, such as meta-data, citations,…

Efficient Discovery of Partial Periodic Patterns in Large Temporal Databases Open

R. Uday Kiran, Pamalla Veena, Penugonda Ravikumar, Saideep Chennupati, Koji Zettsu , et al. · 2022

Periodic pattern mining is an emerging technique for knowledge discovery. Most previous approaches have aimed to find only those patterns that exhibit full (or perfect) periodic behavior in databases. Consequently, the existing approaches …

Mining subgraph coverage patterns from graph transactions Open

A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal, U. Deva Priyakumar · 2021

A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining Open

Anirban Mondal, Samant Saurabh, Parul Chaudhary, Raghav Mittal, P. Krishna Reddy · 2021

Retailer revenue is significantly impacted by item placement in retail stores. Notably, placement of items in the premium slots (i.e., slots with increased visibility/accessibility) improves the probability of sale w.r.t. item placement in…

Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal Databases Open

R. Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa , et al. · 2020

Weighted Frequent Itemset (WFI) mining is an important model in data mining. It aims to discover all itemsets whose weighted sum in a transactional database is no less than the user-specified threshold value. Most previous works focused on…

Decentralized Sustainable Energy Systems For Domestic Lighting In Rural India: An Explorative Study On Revenue Model Types And Components Employed By Indian Renewable Energy Companies Open

P. Krishna Reddy · 2015

Although researchers have acknowledged the issue of commercial viability previously, it is only recently that they have laid emphasis on addressing the relative importance of commercial viability to catalyze the dissemination of decentrali…

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