Search Results for author: Muhammad Aamir Cheema

Found 7 papers, 2 papers with code

Multi-Target Search in Euclidean Space with Ray Shooting (Full Version)

no code implementations6 Jul 2022 Ryan Hechenberger, Daniel Harabor, Muhammad Aamir Cheema, Peter J Stuckey, Pierre Le Bodic

The Euclidean shortest path problem (ESPP) is a well studied problem with many practical applications.

Unsupervised Space Partitioning for Nearest Neighbor Search

1 code implementation16 Jun 2022 Abrar Fahim, Mohammed Eunus Ali, Muhammad Aamir Cheema

We achieve the above edge by formulating a multi-objective custom loss function that does not need ground truth labels to quantify the quality of a given data-space partition, making it entirely unsupervised.

DeepAltTrip: Top-k Alternative Itineraries for Trip Recommendation

no code implementations8 Sep 2021 Syed Md. Mukit Rashid, Mohammed Eunus Ali, Muhammad Aamir Cheema

In this paper, we propose a deep learning-based framework, called DeepAltTrip, that learns to recommend top-k alternative itineraries for given source and destination POIs.

An Experimental Analysis of Indoor Spatial Queries: Modeling, Indexing, and Processing

1 code implementation8 Oct 2020 Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou

Indoor location-based services (LBS), such as POI search and routing, are often built on top of typical indoor spatial queries.

Databases Data Structures and Algorithms

CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities

no code implementations29 Jul 2020 Syed Afaq Ali Shah, Weifeng Deng, Jian-Xin Li, Muhammad Aamir Cheema, Abdul Bais

Traditional approaches rely on the analysis of text data related to users to accomplish this task.

Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks

no code implementations15 Jun 2020 Lingxiao Li, Muhammad Aamir Cheema, Hua Lu, Mohammed Eunus Ali, Adel N. Toosi

Motivated by this, in this paper, we present a user study conducted on the road networks of Melbourne, Dhaka and Copenhagen that compares the quality (as perceived by the users) of the alternative routes generated by four of the most popular existing approaches including the routes provided by Google Maps.

An Efficient Approximation Algorithm for Multi-criteria Indoor Route Planning Queries

no code implementations18 Sep 2018 Chaluka Salgado, Muhammad Aamir Cheema, David Taniar

The experiments demonstrate that our algorithm is highly efficient and produces quality results.

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