Search Results - "Maqbool, Fahad"
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1
Parallel tensor factorization for relational learning
Published in Neural computing & applications (01-06-2022)“…Link prediction is a statistical relational learning problem that has a variety of applications in recommender systems, expert systems, and knowledge bases…”
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Journal Article -
2
(CDRGI)-Cancer detection through relevant genes identification
Published in Neural computing & applications (01-06-2022)“…Cancer is a genetic disease that is categorized among the most lethal and belligerent diseases. An early staging of the disease can reduce the high mortality…”
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3
EvoRecipes: A Generative Approach for Evolving Context-Aware Recipes
Published in IEEE access (01-01-2023)“…Generative AI e.g. Large Language Models (LLMs) can be used to generate new recipes. However, LLMs struggle with more complex aspects like recipe semantics and…”
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4
An Assortment of Evolutionary Computation Techniques (AECT) in gaming
Published in Neural computing & applications (01-06-2022)“…Real-time strategy (RTS) games differ as they persist in varying scenarios and states. These games enable an integrated correspondence of non-player characters…”
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5
Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry
Published in Nashrīyah-i mudīrīyat-i fannāvarī-i iṭṭilāʻāt (01-02-2022)“…The Architecture, Engineering, and Construction (AEC) industry rely heavily on Building Information Modeling (BIM). BIM is the collection of Information and…”
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6
Small-scale production of hydrogen via auto-thermal reforming in an adiabatic packed bed reactor: Parametric study and reactor's optimization through response surface methodology
Published in Computers & chemical engineering (01-02-2021)“…•2-D reactor model predicts validated under small-scale conditions.•Response surface methodology was used to investigate the significance of operational…”
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7
A review on mathematical modelling of Direct Internal Reforming- Solid Oxide Fuel Cells
Published in Journal of power sources (01-02-2022)“…The Solid Oxide Fuel Cells (SOFCs) anode materials are catalytically active for Direct Internal Reforming (DIR) thus avoiding the need of external reformer…”
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8
Comparative study of conventional steam-methane-reforming (SMR) and auto-thermal-reforming (ATR) with their hybrid sorption enhanced (SE-SMR & SE-ATR) and environmentally benign process models for the hydrogen production
Published in Fuel (Guildford) (01-08-2021)“…•SMR, SE-SMR, ATR, and SE-ATR reactor models are developed.•Models are validated against the literature data.•The equilibrium performance is compared over a…”
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9
Modelling of one-dimensional heterogeneous catalytic steam methane reforming over various catalysts in an adiabatic packed bed reactor
Published in International journal of hydrogen energy (27-01-2021)“…Kinetic data relevant to steam methane reforming (SMR) are often applied to catalysts and conditions for which they have not been derived. In this work,…”
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10
DeepClassRooms: a deep learning based digital twin framework for on-campus class rooms
Published in Neural computing & applications (01-04-2023)“…A lot of different methods are being opted for improving the educational standards through monitoring of the classrooms. The developed world uses Smart…”
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11
Graph colouring using evolutionary computation: A case study of blind naked mole‐rat algorithm
Published in Expert systems (02-03-2023)“…Abstract Graph colouring problem (GCP) is an NP‐complete optimization problem. It is famous for its applications in scheduling, register allocation, and map…”
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12
MDVA-GAN: multi-domain visual attribution generative adversarial networks
Published in Neural computing & applications (01-04-2023)“…Some pixels of an input image have thick information and give insights about a particular category during classification decisions. Visualization of these…”
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13
Modeling of sorption enhanced steam methane reforming in an adiabatic packed bed reactor using various CO2 sorbents
Published in Journal of environmental chemical engineering (01-10-2021)“…A 1-D heterogeneous model of sorption-enhanced steam methane reforming (SE-SMR) process in a packed bed reactor consisting of nickel catalyst well mixed with…”
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14
COVID-19 Patient Count Prediction Using LSTM
Published in IEEE transactions on computational social systems (01-08-2021)“…In December 2019, a pandemic named COVID-19 broke out in Wuhan, China, and in a few weeks, it spread to more than 200 countries worldwide. Every country…”
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15
Structured knowledge creation for Urdu language: A DBpedia approach
Published in Expert systems (14-01-2023)“…Abstract Wikipedia information is extracted by DBpedia and linked to other web resources as Linked Open Data, which is an important contribution to the field…”
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16
SEECSSim: a parallel and distributed simulation framework for mobile devices
Published in Proceedings of the 22nd International Symposium on Distributed Simulation and Real Time Applications (15-10-2018)“…On battery-operated devices, energy and power consumption are main concerns. With the recent advancement of technology, mobile devices can be integrated with…”
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Conference Proceeding -
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Improvement in Survival Outcomes of Acute Lymphoblastic Leukemia Patients Treated With Berlin-Frankfurt-Munster 76/79 Protocol
Published in Proceedings (Shaikh Zayed Hospital) (15-01-2021)“…Introduction: Acute lymphoblastic leukemia (ALL) is a malignancy of the white blood cells and lymphoid lines of hematopoietic cells in the blood and bone…”
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18
Zombies Arena: fusion of reinforcement learning with augmented reality on NPC
Published in Cluster computing (01-03-2018)“…Augmented reality (AR) is a discipline having less cognizance but it is the door to new advance technologies. Accustomed games doesn’t facilitate user to…”
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19
The FAIRy Tale of Genetic Algorithms
Published 29-04-2023“…Genetic Algorithm (GA) is a popular meta-heuristic evolutionary algorithm that uses stochastic operators to find optimal solution and has proved its…”
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20
Large Scale Distributed Optimization using Apache Spark: Distributed Scalable Shade-Bat (DistSSB)
Published in 2021 IEEE Congress on Evolutionary Computation (CEC) (28-06-2021)“…Large Scale Global Optimization (LSGO) is interesting for its applications in machine learning, e.g. in deep learning or knowledge graph embeddings…”
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Conference Proceeding