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Enhancement of Single and Composite Images Based on Contourlet Transform Approach by Melkamu, Hunegnaw Asmare

“…Image enhancement is an imperative step in almost every image processing algorithms. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

“…These kind of activities highly sparsely distributed in the input space which is problematic to be distinguish using traditional classifier model. Even though deep learning becomes a recent imperative topic, model complexity is considered as a foremost drawback and impractical to be conducted. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Heart disease prediction using artificial neural network with ADAM optimization and harmony search algorithm by Alyaa Ghazi Mohammed, Mohd Zakree Ahmad Nazri

“…Drawing from an extensive review of existing predictive models and cardiovascular health risk factors, this research proposes an enhanced ADAM optimization algorithm, integrated with advanced data processing and feature selection methodologies, to identify and refine key predictors for improved model performance. …”
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Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems by Mohd Helmi, Suid

“…As technology continues to advance, the demand for effective methodologies to design, analyse, and synthesize complex system models becomes vital. In response to this imperative, researchers have increasingly turned to optimization-based approaches, with the Sine Cosine Algorithm (SCA) emerging as a prominent solution. …”
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Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi by Hanapi, Suhadiyana

“…This thesis makes a number of key contributions to the advancement of fuel cell vehicle design within two main research areas; powertrain system design based on quality energy, and optimization system based on biology based algorithms. …”
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

“…Innovative cloud computing system offers cutting-edge storage models that prioritize the importance of data, adaptive algorithms for controlling data flow, and cost-effective computational procedures. …”

Two-class classification: comparative experiments for chronic kidney disease by Johari, Ahmad Amni, Abd Wahab, Mohd Helmy, Mustapha, Aida

“…Two supervised classification algorithms are used to build the classification model, which are Two-Class Decision Forest and Two-Class Neural Networks. …”
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Metaheuristic based ids using multi-objective wrapper feature selection and neural network classification by Ghanem, W.A.H.M, El-Ebiary, Y.A.B., Abdulnab, M., Tubishat, M., Alduais, N.A.M., Nasser, A.B., Abdullah, N., Al-wesabi, O.A.

“…The classifier, named as HADMLP is trained using a hybridization of the artificial bee colony along with the dragonfly algorithm. A multi-objective artificial bee colony model which is wrapper-based is used for selection of feature. …”
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Concept Based Lattice Mining (CBLM) using Formal Concept Analysis (FCA) for text mining by Mumtazimah, Mohamad, Hassan, H., Mohd Saman, M.Y, Abdullah, Z.

“…This study proposes a model that enables query matching using output lattices from Formal Concept Analysis (FCA) tool, based on Graph Theory. …”
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Game theoretic approach for exhaustive tactical modelling of node misbehavior in adhoc networking based IOT paradigm/P-RIGS18-020-0020 by Olanrewaju, Rashidah Funke Olanrewaju, Anwar, Farhat, Khan, Burhan Ul Islam

“…Therefore, this Game Theoretic Approach for Exhaustive Tactical Modelling of Node Misbehavior in Adhoc Networking based IoT Paradigm will reduce the utility of malicious nodes and increase the utility of regular nodes. …”
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Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development by Salehmin M.N.I., Tiong S.K., Mohamed H., Umar D.A., Yu K.L., Ong H.C., Nomanbhay S., Lim S.S.

“…While the literature reflects a promising landscape for ML applications in hydrogen energy domains, transitioning AI-based algorithms from controlled environments to real-world applications poses significant challenges. …”

A review on high frequency trading forecasting methods: opportunity and challenges for quantum based method by Palaniappan, Visalakshi, Ishak, Iskandar, Ibrahim, Hamidah, Sidi, Fatimah, Ahmad Zukarnain, Zuriati

“…Algorithmic trading gives traders the ability to trade or receive orders within extremely brief time intervals, such as minutes or seconds based. …”
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Distributed learning based energy-efficient operations in small cell networks by Mughees, Amna

“…Simulation results demonstrate improved performance in power consumption, load, sum rate, utility, learning rate, convergence, and energy efficiency for small base stations (SBSs) and user equipment (UEs) compared to four benchmarked algorithms, including WMMSE, game theory, Q-learning, and DRL. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining by Hasni, Hassan, Mumtazimah, Mohamad, Md Yazid, Mohamad Saman

“…This study proposes a model that enables query matching using output lattices from Formal Concept Analysis (FCA) tool, based on Graph Theory. …”
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Predicted distribution of the marbled cat Pardofelis marmorata (Mammalia: Carnivora: Felidae) on Borneo by Rustam, Rustam, Hearn, Andrew J., Ross, Joanna, Wilting, Andreas, Jayasilan, Mohd. Azlan

“…Here we use the MaxEnt algorithm to produce a habitat suitability map for this species based on a compilation of existing data. …”
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Unlocking insights: A comprehensive dataset analysis on the acceptance of computational thinking skills among undergraduate university students through the lens of extended techno... by Rosli, Mohd Shafie, Awalludin, Muhammad Fairuz Nizam, Tau Han, Cheong T, Saleh, Nor Shela, Md Noor, Harrinni

“…This dataset stands among the pioneering efforts to assess the novel covariance-based structural equation model algorithm within SmartPLS 4, presenting a valuable resource for future research employing the same mechanism.…”
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ECM-GT: design of efficient computational modelling based on game theoretical approach towards enhancing the security solutions in MANET by Khan, Burhan Ul Islam, Olanrewaju, Rashidah Funke, Anwar, Farhat, Mir, Roohie Naaz

“…Therefore, Efficient ComputationalModelling based on Game Theory or ECM-GT methodology will reduce the utility of malicious nodes and increase the utility of regular nodes. …”
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A framework for automated quality assessment of software requirement specification based on part-of-speech tagging, multi-agent k-means clustering and case-based reasoning by Jubair, Mohammed Ahmed

“…Recent automated models also attempted to assess the quality of the SRS based on a small number of quality attributes and indicators due to the limitation in extracting quality attributes that require specific indicators from the SRS. …”
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