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Showing 65 results for "karima benatchba" in Engineering
Engineering Preprint PDF DOI

Karma Mechanisms for Decentralised, Cooperative Multi Agent Path Finding

Kevin Riehl, Julius Schlapbach, Anastasios Kouvelas, Michail A. Makridis · 2026

Multi-Agent Path Finding (MAPF) is a fundamental coordination problem in large-scale robotic and cyber-physical systems, where multiple agents must compute conflict-free trajectories with limited comp…

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Engineering Preprint PDF DOI

Flexible Electric Vehicle Charging with Karma

Ezzat Elokda, Ruiting Wang, Karl H. Johansson, Angela Fontan · 2026

Motivated by the need to develop fair and efficient schemes to facilitate the electrification of transport, this paper proposes a non-monetary karma economy for flexible Electric Vehicle (EV) charging…

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Engineering Preprint PDF DOI

Time Series Based CO2 Emission Forecasting and Energy Mix Analysis for Net Zero Transitions: A Multi Country Study

Salim Oyinlola, Joshua Ajayi, Gozie Ibekwe · 2026

This study examines long-term CO$_2$ emission trajectories across five major economies: Nigeria, the United States, China, Brazil, and Russia, by integrating national energy-mix characteristics with t…

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Engineering Preprint PDF DOI

Bab_Sak Robotic Intubation System (BRIS): A Learning-Enabled Control Framework for Safe Fiberoptic Endotracheal Intubation

Saksham Gupta, Sarthak Mishra, Arshad Ayub, Kamran Farooque, Spandan Roy, Babita Gupta · 2025

Endotracheal intubation is a critical yet technically demanding procedure, with failure or improper tube placement leading to severe complications. Existing robotic and teleoperated intubation systems…

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Engineering Preprint PDF DOI

KNN and Time Series Based Prediction of Power Generation from Renewable Resources

Ismum Ul Hossain, Mohammad Nahidul Islam · 2025

As the world shifts towards utilizing natural resources for electricity generation, there is need to enhance forecasting systems to guarantee a stable electricity provision and to incorporate the gene…

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Engineering Preprint PDF DOI

Towards Fair and Efficient allocation of Mobility-on-Demand resources through a Karma Economy

Matteo Cederle, Saverio Bolognani, Gian Antonio Susto · 2025

Mobility-on-demand systems like ride-hailing have transformed urban transportation, but they have also exacerbated socio-economic inequalities in access to these services, also due to surge pricing st…

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Engineering Preprint PDF DOI

Reducing Robotic Upper-Limb Assessment Time While Maintaining Precision: A Time Series Foundation Model Approach

Faranak Akbarifar, Nooshin Maghsoodi, Sean P Dukelow, Stephen Scott, Parvin Mousavi · 2025

Purpose: Visually Guided Reaching (VGR) on the Kinarm robot yields sensitive kinematic biomarkers but requires 40-64 reaches, imposing time and fatigue burdens. We evaluate whether time-series foundat…

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Engineering Preprint PDF DOI

Enhancing Financial Decision-Making: Machine Learning and AI-Powered Predictions and Analysis

Vishal Patil, Kavya Bhand, Kaustubh Mukdam, Kavya Sharma, Manas Kawtikwar, Prajwal Kavhar, Hridayansh Kaware · 2025

The proposed system aims to use various machine learning algorithms to enhance financial prediction and generate highly accurate analyses. It introduces an AI-driven platform which offers inflation-an…

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Engineering Preprint PDF DOI

Machine Learning for Campus Energy Resilience: Clustering and Time-Series Forecasting in Intelligent Load Shedding

Salim Oyinlola, Peter Olabisi Oluseyi · 2025

The growing demand for reliable electricity in universities necessitates intelligent energy management. This study proposes a machine learning-based load shedding framework for the University of Lagos…

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Engineering Preprint PDF DOI

Forecasting Self-Similar User Traffic Demand Using Transformers in LEO Satellite Networks

Yekta Demirci, Guillaume Mantelet, Stephane Martel, Jean-Francois Frigon, Gunes Karabulut Kurt · 2025

In this paper, we propose the use of a transformer-based model to address the need for forecasting user traffic demand in the next generation Low Earth Orbit (LEO) satellite networks. Considering a LE…

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Engineering Preprint PDF DOI

Operational machine learning for park-scale irrigation to support urban cooling

Mesut Kocyigit, Bahman Javadi, Russell Thomson, Sebastian Pfautsch, Oliver Obst · 2025

Urban parks can mitigate local heat, yet irrigation control is usually tuned for water savings rather than cooling. We report on SIMPaCT (Smart Irrigation Management for Parks and Cool Towns), a park-…

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Engineering Preprint PDF DOI

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models

Aurausp Maneshni · 2025

Electric energy is difficult to store, requiring stricter control over its generation, transmission, and distribution. A persistent challenge in power systems is maintaining real-time equilibrium betw…

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Engineering Preprint PDF DOI

Towards Autonomous 1/8th Offroad RC Racing -- The TruggySense Educational Platform

Robbe Elsermans, Jan Steckel · 2025

This paper presents a state-of-the-art Data Acquisition System designed for off-road conditions, deployed on a Team Corally Kagama 1/8 Remote Controlled Vehicle. The system is intended to support Adva…

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Engineering Preprint PDF DOI

Advanced Stock Market Prediction Using Long Short-Term Memory Networks: A Comprehensive Deep Learning Framework

Rajneesh Chaudhary · 2025

Predicting stock market movements remains a persistent challenge due to the inherently volatile, non-linear, and stochastic nature of financial time series data. This paper introduces a deep learning-…

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Engineering Preprint PDF DOI

A data-driven framework for team selection in Fantasy Premier League

Danial Ramezani, Tai Dinh · 2025

Fantasy football is a billion-dollar industry with millions of participants. Under a fixed budget, managers select squads to maximize future Fantasy Premier League (FPL) points. This study formulates …

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Engineering Preprint PDF DOI

Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study

Mousa Alizadeh, Mohammad Hossein Samaei, Azam Seilsepour, Alireza Monavarian, Mohammad TH Beheshti · 2025

Effective epidemic modeling is essential for managing public health crises, requiring robust methods to predict disease spread and optimize resource allocation. This study introduces a novel deep lear…

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Engineering Preprint PDF DOI

Forecasting Empty Container availability for Vehicle Booking System Application

Arthur Cartel Foahom Gouabou (AMU, LIS, I&M), Mohammed Al-Kharaz (LIS), Faouzi Hakimi (AMU), Tarek Khaled (LIS, LIRICA), Kenza Amzil (LISPEN) · 2025

Container terminals, pivotal nodes in the network of empty container movement, hold significant potential for enhancing operational efficiency within terminal depots through effective collaboration be…

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Engineering Preprint PDF DOI

EUR/USD Exchange Rate Forecasting incorporating Text Mining Based on Pre-trained Language Models and Deep Learning Methods

Hongcheng Ding, Xiangyu Shi, Ruiting Deng, Salaar Faroog, Deshinta Arrova Dewi, Shamsul Nahar Abdullah, Bahiah A Malek · 2024

This study introduces a novel approach for EUR/USD exchange rate forecasting that integrates deep learning, textual analysis, and particle swarm optimization (PSO). By incorporating online news and an…

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Engineering Preprint PDF DOI

KARMA: Augmenting Embodied AI Agents with Long-and-short Term Memory Systems

Zixuan Wang, Bo Yu, Junzhe Zhao, Wenhao Sun, Sai Hou, Shuai Liang, Xing Hu, Yinhe Han, Yiming Gan · 2024

Embodied AI agents responsible for executing interconnected, long-sequence household tasks often face difficulties with in-context memory, leading to inefficiencies and errors in task execution. To ad…

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Engineering Preprint PDF DOI

Local Cold Load Pick-up Estimation Using Customer Energy Consumption Measurements

Sanja Bajic, Francois Bouffard, Hannah Michalska, Geza Joos · 2024

Thermostatically-controlled loads have a significant impact on electricity demand after service is restored following an outage, a phenomenon known as cold load pick-up (CLPU). Active management of CL…

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