Search Results for author: Arif Khan

Found 6 papers, 1 papers with code

History of generative Artificial Intelligence (AI) chatbots: past, present, and future development

no code implementations4 Feb 2024 Md. Al-Amin, Mohammad Shazed Ali, Abdus Salam, Arif Khan, Ashraf Ali, Ahsan Ullah, Md Nur Alam, Shamsul Kabir Chowdhury

This research provides an in-depth comprehensive review of the progress of chatbot technology over time, from the initial basic systems relying on rules to today's advanced conversational bots powered by artificial intelligence.

Chatbot

Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion

no code implementations16 May 2023 Ashutosh Dutta, Milan Jain, Arif Khan, Arun Sathanur

Collisions, crashes, and other incidents on road networks, if left unmitigated, can potentially cause cascading failures that can affect large parts of the system.

reinforcement-learning Transfer Learning

BLISS: An Agent for Collecting Spoken Dialogue Data about Health and Well-being

no code implementations LREC 2020 Jelte van Waterschoot, Iris Hendrickx, Arif Khan, Esther Klabbers, Marcel de Korte, Helmer Strik, Catia Cucchiarini, Mari{\"e}t Theune

The goal of Behaviour-based Language-Interactive Speaking Systems (BLISS) is to understand the motivations behind people{'}s happiness by conducting a personalized spoken dialogue based on a happiness model.

A Finite State Transducer Based Morphological Analyzer of Maithili Language

no code implementations29 Feb 2020 Raza Rahi, Sumant Pushp, Arif Khan, Smriti Kumar Sinha

Morphological analyzers are the essential milestones for many linguistic applications like; machine translation, word sense disambiguation, spells checkers, and search engines etc.

Machine Translation Translation +1

Street-level Travel-time Estimation via Aggregated Uber Data

no code implementations13 Jan 2020 Kelsey Maass, Arun V. Sathanur, Arif Khan, Robert Rallo

Our proposed methodology uses a graph representation of the road network and combines several techniques such as graph-based routing, trip sampling, graph sparsification, and least-squares optimization to estimate the street-level travel times.

Travel Time Estimation

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