Search Results - solution ((learning techniques) OR (estimation techniques))

A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato... by Alsa’Di, Kawthar, Nik Long, Nik Mohd Asri

“…Moreover, a new hybrid technique which is the combination of deep learning artificial neural network and finite difference method (FDL-ANN) is developed to approximate the solution of higher order VFIDEs. …”
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Automated density and growth estimation in precision aquaculture systems for prawn cultivation using computer vision techniques by Chong, Xiao Wei

“…To address these challenges, this project proposes an innovative solution that leverages computer vision and machine learning techniques. …”
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Machine learning techniques for reference evapotranspiration and rice irrigation requirements prediction: a case study of Kerian irrigation scheme, Malaysia by Mohd Nasir, Muhammad Adib, Harun, Sobri, Zainuddin, Zaitul Marlizawati, Kamal, Md Rowshon, Che Rose, Farid Zamani

“…The novelty of this paper is the application of machine learning techniques as an alternative to traditional methods and software solutions for estimating ETo and irrigation demand. …”
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Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems by Tang, En Lai

“…This strategy was extended with “preference estimation” technique to optimize the user preference level of negotiation outcome. …”
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A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture by Akbar, Jalal Uddin Md, Syafiq Fauzi, Kamarulzaman, Abu Jafar, Md Muzahid, Rahman, Md. Arafatur, Uddin, Mueen

“…This paper provides a focused review of recent advancements in deep learning-enabled computer vision techniques tailored specifically for greenhouse environments. …”
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Crop yield prediction in agriculture: a comprehensive review of machine learning and deep learning approaches, with insights for future research and sustainability by Jabed, Md. Abu, Azmi Murad, Masrah Azrifah

“…This research paper delves into the application of advanced Artificial Intelligence (AI) techniques to enhance crop yield estimation in the context of diverse agricultural challenges. …”
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Deep learning sensor fusion in plant water stress assessment: a comprehensive review by Kamarudin, Mohd Hider, Ismail, Zool Hilmi, Saidi, Noor Baity

“…Notably, 37 deep learning solutions fell under six main areas, namely soil moisture estimation, soil water modelling, evapotranspiration estimation, evapotranspiration forecasting, plant water status estimation and plant water stress identification. …”
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Enhancing CNN for Forensics Age Estimation Using CGAN and Pseudo-Labelling by Alkaabi S., Yussof S., Al-Mulla S.

“…To improve the recognition speed and consistency, researchers have proposed automated age estimation using deep learning techniques such as Convolutional Neural Network (CNN). …”

RECURSIVE LEARNING ALGORITHMS ON RBF NETWORKS FOR NONLINEAR SYSTEM IDENTIFICATION by CATUR ANDRYANI, NUR AFNY

“…The thesis also try to investigate the influence of initialization of RBF weights parameters on the overall learning performance using random method and advanced unsupervised learning, such as clustering techniques, as a comparison. …”
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End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels by Mfarej, Sumaya Dhari Awad

“…The channel estimation results indicate that the adopted DL architectures are more robust than conventional techniques when fewer training pilots are used for both fading channels. …”
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Opposition- based simulated kalman filters and their application in system identification by Kamil Zakwan, Mohd Azmi

“…The OBL is employed after the estimation process of SKF. Two versions of OBL techniques have been considered in this research, which are original OBL and Current Optimum Opposition-based Learning (COOBL). …”
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Utilising computer vision techniques for automated density and growth estimation in precision aquaculture systems for prawn cultivation by Lean, Jin Hao

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Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohamad Fadhil, Abas, Bayuaji, Luhur

“…To solve the issue of parameter estimation for a chaotic system, deep learning is utilized. …”
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Feedforward neural network for solving particular fractional differential equations by Admon, Mohd Rashid

“…The numerical solutions obtained are consistent with reference solutions. …”
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Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms by Alswaitti, Mohammed Y. T.

“…Moreover, the balance between the exploration and exploitation processes in the DPSO framework is considered using a combination of (i) a kernel density estimation technique associated with new bandwidth estimation method and (ii) estimated multi-dimensional gravitational learning coefficients. …”
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Estimating residential buildings� energy usage utilising a combination of Teaching�Learning�Based Optimization (TLBO) method with conventional prediction techniques by Zheng S., Xu H., Mukhtar A., Hizam Md Yasir A.S., Khalilpoor N.

“…Among the most significant solutions suggested for estimating energy consumption and cooling load, one can refer to enhancing energy efficiency in non-residential and residential buildings. …”

A graphical user interface to approximate area (AMOEBA) using trapezoidal method for teaching and learning processes / Nurul Ain Johar ... [et al.] by Johar, Nurul Ain, Norhisham, Nurul Hazirah, Nasir, Mohd Agos Salim, Soid, Siti Khuzaimah, Md Tahir, Herniza

“…This hands-on approach helps comprehend the trapezoidal technique and its practical applications. The interface's graphics enhances learning. …”
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A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim by Ibrahim, Mohd Faisal

“…Therefore, an active available bandwidth estimation technique was incorporated in the proposed solution. …”
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Using electromechanical impedance and extreme learning machine to detect and locate damage in structures by Djemana, Mohamed, Hrairi, Meftah, Al Jeroudi, Yazan

“…In particular, electromechanical impedance (EMI) techniques give simple and low cost solutions for detecting damage in different structures. …”
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Using Machine Learning Algorithms to Estimate the Compressive Property of High Strength Fiber Reinforced Concrete by Dai, L., Wu, X., Zhou, M., Ahmad, W., Ali, M., Sabri, M.M.S., Salmi, A., Ewais, D.Y.Z.

“…Steel fibersâ�� addition in HSC results in bridging behavior which improves its post-cracking behavior, provides cracks arresting and stresses transfer in concrete. Using machine learning (ML) techniques, concrete properties prediction is an effective solution to conserve construction time and cost. …”
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