Search Results - "Shakya, Siddhartha"
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1
Novel secure surgical telepresence using enhanced advanced encryption standard: during, pre and post surgery
Published in Multimedia tools and applications (01-05-2020)“…Security during surgical telepresence has not yet been sufficiently considered. This paper aims to propose a solution to enhance security during surgery…”
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Journal Article -
2
Optimization by estimation of distribution with DEUM framework based on Markov random fields
Published in International journal of automation and computing (01-07-2007)“…This paper presents a Markov random field (MRF) approach to estimating and sampling the probability distribution in populations of solutions. The approach is…”
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Journal Article -
3
Waste to energy in Kathmandu Nepal—A way toward achieving sustainable development goals
Published in Sustainable development (Bradford, West Yorkshire, England) (01-09-2021)“…The Sustainable Development Goals (SDG) explicitly focus on responsible use of resources, production, and consumption, which comprises sensible waste…”
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Journal Article -
4
Anaerobic co-digestion of food waste, poultry litter and sewage sludge: seasonal performance under ambient condition and model evaluation
Published in Energy sources. Part A, Recovery, utilization, and environmental effects (26-02-2021)“…With the increasing population, food waste, sewage sludge, and poultry litter management problem are scaling up even in low-income countries. The management of…”
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Journal Article -
5
A Markovianity based optimisation algorithm
Published in Genetic programming and evolvable machines (01-06-2012)“…Several Estimation of Distribution Algorithms (EDAs) based on Markov networks have been recently proposed. The key idea behind these EDAs was to factorise the…”
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Journal Article -
6
Dynamic programming operators for the bi-objective Traveling Thief Problem
Published in 2020 IEEE Congress on Evolutionary Computation (CEC) (01-07-2020)“…The traveling thief problem (TTP) has emerged as a realistic multi-component problem that poses a number of challenges to traditional optimizers. In this paper…”
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Conference Proceeding -
7
Fire Alarm Volume Forecasting with ML Models
Published in 2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE) (30-12-2023)“…Forecasting the number of expected fire alarms in different areas for future dates can help authorities to proactively provision resources to manage them. This…”
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Conference Proceeding -
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Optimizing Field Productivity by Mobile Warehouse Deployment Using Evolutionary Algorithms
Published in 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (01-12-2019)“…Service organizations such as telecom or utility companies require uninterrupted availability of spare parts to maintain their service. It is very important…”
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Conference Proceeding -
9
AI Based 5G RAN Planning
Published in 2021 International Symposium on Networks, Computers and Communications (ISNCC) (31-10-2021)“…This paper proposes an AI solution to optimize the site selection process for 5G Radio Network(RAN) planning. We study various analytic and machine learning…”
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Conference Proceeding -
10
Investigating binary EAs for Passive In-Building Distributed Antenna Systems
Published in 2021 IEEE Congress on Evolutionary Computation (CEC) (28-06-2021)“…A passive in-building distributed antenna system (IB-DAS) is often used to enhance indoor mobile data coverage by introducing indoor antennas inside buildings…”
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Conference Proceeding -
11
Investigating RNNs for vehicle volume forecasting in service stations
Published in 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (01-12-2020)“…Accurate forecasting of customer demand can be critical for increasing operational efficiency and augmenting customer satisfaction, particularly in scenarios…”
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Conference Proceeding -
12
A fully multivariate DEUM algorithm
Published in 2009 IEEE Congress on Evolutionary Computation (01-05-2009)“…Distribution Estimation Using Markov network (DEUM) algorithm is a class of estimation of distribution algorithms that uses Markov networks to model and sample…”
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Conference Proceeding -
13
Deum: a framework for an estimation of distribution algorithm based on markov random fields
Published 01-01-2006“…Estimation of Distribution Algorithms (EDAs) belong to the class of population based optimisation algorithms. They are motivated by the idea of discovering and…”
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Dissertation -
14
Predicting Demand in IoT Enabled Service Stations
Published in 2019 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) (01-04-2019)“…The current world of AI revolves around forecasting and prediction, eating up a major chunk of problem statements generated by organizations in various…”
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Conference Proceeding -
15
Solving the Ising Spin Glass Problem using a Bivariate EDA based on Markov Random Fields
Published in 2006 IEEE International Conference on Evolutionary Computation (2006)“…Markov random field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for estimation of distribution…”
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Conference Proceeding -
16
Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm
Published in 2005 IEEE Congress on Evolutionary Computation (2005)“…Markov random field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for estimation of distribution…”
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Conference Proceeding -
17
Integrated resource planning for diverse workforces
Published in 2009 International Conference on Computers & Industrial Engineering (01-07-2009)“…Resource planning is an integral component of service chain management as it ensures that customer commitments are met, that a high quality of service is…”
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Conference Proceeding