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201
Review on unmanned aerial vehicle assisted sensor node localization in wireless networks: soft computing approaches
Published 2022“…The ELM is even superior over its counterpart NN classifiers like multilayer perceptron (MLP) and radial basis function (RBF) due to its fast and strong learning ability. …”
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202
Disruptive digital technologies to ensure circularity in supply chain: a critical review of drivers, barriers and challenges
Published 2023“…Our review reveals that digital technology enabled CE practices helps to improve several performance metrics like resource optimization, waste reduction, product life cycle, occupational health, social performance, product safety and quality, and customer loyalty and satisfaction. …”
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203
LGBTI rights and NGOs in international relations: how NGOs use the international system to affect domestic policy-making in majority Catholic countries
Published 2022“…In this thesis, I would like to identify how specialised LGBTI INGOs facilitate access to international channels to local NGOs. …”
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Thesis -
204
Building a big data platform using software without licence costs
Published 2024“…Since most of the currently available commercial platforms for Big Data are based on open-source software, such a solution is fully compatible with enterprise solutions from leading vendors like Cloudera, HP, IBM, Oracle and others. Although such an approach may be considered less reliable due to the limited support, it also has many advantages, making it attractive for small institutions with limited budgets, research institutions working on innovative solutions and software houses developing new platforms and applications. …”
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205
AutoCoach: an automated playing eleven selection framework in cricket
Published 2024“…In our work, we tried to automate this process using machine learning models like Support Vector Regressor, Linear Regression Random Forest regressor etc. …”
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206
CricPredict: resource-aware prediction of T20 cricket match
Published 2024“…Usually, the Duckworth–Lewis (D/L) method is used to decide the outcome of the match in Test and ODI cricket, resulting in favour of one team like completed matches. In contrast to the traditional D/L method, we tried to incorporate players' performance indicators into our proposed architecture despite the traditional D/L method which only includes the current state of the match and determines the outcome. …”
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207
PlayerRank: leveraging learning-to-rank AI for player positioning in cricket
Published 2024“…Each position-specific model is trained to rank players based on their suitability for that position in the batting order, considering factors like performance metrics and specialization. The models are designed to increase impartiality and focus on player performance. …”
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208
Curvature sensing amphipathic helix in the C-terminus of RTNLB13 is conserved in all endoplasmic reticulum shaping reticulons in Arabidopsis thaliana
Published 2021“…We recently demonstrated that Reticulon-like protein B13 (RTNLB13) from Arabidopsis thaliana contains a curvature-responsive amphipathic helix (APH) important for the proteins’ ability to induce curvature in the ER membrane, but incapable of generating curvature by itself. …”
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209
Modelling traceability of KTMB train passenger
Published 2015“…Due to data provided by KTMB was too general, interview with staff of KTMB like training managers, station managers, trainers and drivers has been done to obtain more detailed information. …”
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210
Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength
Published 2015“…The performance of the proposed classification model is validated on SME dataset obtained from SME Corporation Malaysia, and also on real-world benchmark classification problems like Breast Cancer, Iris, and Glass. The performance of the ANFIS optimization by AMBA is compared with Genetic Algorithm (GA), Particle Swarm Optimization (PSO), MBA and Improved MBA (IMBA), respectively. …”
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Thesis -
211
Optimization of coded signals based on wavelet neural network
Published 2015“…When compared with other existing methods, WNN yields better PSR, low Mean Square Error (MSE), less noise, range resolution ability and Doppler shift performance than the previous and some traditional algorithms like auto correlation function (ACF) algorithm.…”
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212
Issue of hiring a criminal
Published 2020“…Nowadays, criminal history is quite common in the country like USA, which has over 6.6 million people been under correctional supervision such as jail, prison and parole. …”
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Book Section -
213
Construction waste management practices in the construction site: virtual source analysis
Published 2021“…The significant growth in the construction industry has been a bit of a serious issue for most developing countries like Malaysia. Along with construction’s growth, the increase of building materials used also adds waste to the construction site. …”
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Conference or Workshop Item -
214
Blackspot analysis of road traffic crashes in Surabaya - Manyar Toll Road, East Java
Published 2021“…Margabumi Matrajaya should add traffic sign as blackspot area, speed trap, warning sign like slippery road ahead warning, crossroad, and merging traffic.…”
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215
Modeling and simulation of standalone hybrid PV-wind renewable energy system base case study: Iraq
Published 2019“…Renewable energy is the energy that collected from renewable sources like Solar, wind, waves and others. The problem of renewable sources that is unexpected and have intermittent nature. …”
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216
The reuse of the algerian petroleum sludge as alternative raw material for cement production
Published 2019“…Recently, researchers are trying to incorporate alternative fuels and raw materials (AFR) to produce different types of cement like Ordinary Portland Cement (OPC), Portland Pozzolana Cement (PPC), Low Heat Cement and others. …”
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Thesis -
217
An improved Pi-Sigma neural network using error feedback for time series prediction
Published 2018“…Traditional time series forecasting tools have some limitations like slow training process, less efficient training methods that decrease the performance of the model. …”
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218
Development of vehicle lane changing model within u-turn facilities
Published 2017“…The data were taken from the field which is video recording, picture and geometric design and was used to simulate the driving simulator like an actual environment while the driving simulator come out with the speed differences, reaction time and distance as a raw data. …”
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219
Impact of oil prices on stock market performance
Published 2023“…The findings further indicate that stock returns-generating processes in a net oil-exporting country like Canada exhibited a high degree of persistence in conditional variance, and the modelling of asymmetry was positive. …”
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220