Search Results - (( java implication based algorithm ) OR ( _ integration gap algorithm ))

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Intergrated multi-objective optimisation of assembly sequence planning and assembly line balancing using particle swarm optimisation by M. F. F., Ab Rashid

“…The MODPSO algorithm is tested with a wide range of problem difficulties for integrated single-model and mixed-model ASP and ALB problems. …”
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Assessment of landsat 7 scan line corrector-off data gap-filling methods for seagrass distribution mapping by Hossain, Mohammad Shawkat, Bujang, Japar Sidik, Zakaria @ Ya, Muta Harah, Hashim, Mazlan

“…For optimal performance of the GNSPI algorithm, cloud and shadow in the primary and auxiliary images had to be removed by cloud removal methods prior to filling data gaps. …”
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Optimum Material Removal in Electrical Discharge Machining through Advanced Control Integration of PSoC Microcontroller by Matthias Tiong Foh Thye, Leong Kah Meng, Mohd Azahar Che Abdullah, Jaysuman Pusppanathan, Abd Rahim Mat Sidek, Bentantya Nugroho

“…The pulse generator algorithm was developed to effi ciently manage Ton and Toff , while the Proportional Integral Derivative (PID) algorithm was employed to uphold the gap between the electrode and the workpiece. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Bridging the gap: technological innovations and sustainability towards transforming disability products / Norida Abu Bakar … [et al.] by Abu Bakar, Norida, Rashid, Khalidah, Salehuddin, Amirah, Salman, Anis, -, Irdina Khairul Niza, Amir, Zulaikha

“…From smart prosthetics equipped with sensor arrays and AI algorithms to wearable devices integrating biofeedback mechanisms, the landscape of assistive technology is undergoing a remarkable evolution. …”
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Linear-PSO with binary search algorithm for DNA Motif Discovery / Hazaruddin Harun by Harun, Hazaruddin

“…Particle Swarm Optimisation (PSO) was selected as the base algorithm that needs improvement and integration with other techniques. …”
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Linear-pso with binary search algorithm for DNA motif discovery / Hazaruddin Harun by Harun, Hazaruddin

“…The Linear-PSO algorithm was the first version of improvement. However due to the longer time required for complete execution of this algorithm, the Binary Search technique was integrated and a new version of the algorithm was developed, namely the Linear-PSO with Binary Search (LPBS) algorithm. …”
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A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area by Sameen, Maher Ibrahim, Nahhas, Faten Hamed, Buraihi, Faez Hussein, Pradhan, Biswajeet, Mohamed Shariff, Abdul Rashid

“…Fused Landsat data and SAR images were then integrated to produce the LULC map. Different classification algorithms were adopted to classify the integrated Landsat and SAR data, and the maximum likelihood classifier (MLC) was considered the best approach. …”
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Toward bridging future irrigation deficits utilizing the shark algorithm integrated with a climate change model by Ehteram M., El-Shafie A.H., Hin L.S., Othman F., Koting S., Karami H., Mousavi S.-F., Farzin S., Ahmed A.N., Zawawi M.H.B., Hossain M.S., Mohd N.S., Afan H.A., El-Shafie A.

Nutrilife: Empowering health with diet and nutrition app by Tan, Yuki Lok Yee

“…This integration aims to enhance user experience and effectiveness in fitness training. …”
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Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology by Zhang, Hongli, Leong, Wai Yie

“…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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Integrated applications of building information modeling in project cost management: a systematic review by M. Farouk, Abdelrahman, Rahimi, A. Rahman

“…Also, BIM can be applied independently or integrated with other techniques. The integrated approaches for cost control include integration with genetic algorithms, Monte Carlo simulation, lean construction, integrated project delivery, neural network and value engineering. …”
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A Wavelet-Based Approach For The Analytical Solutions Of Fractional Differential Equations And The Numerical Solutions Of Fractional Integral Equations by Loong, Marcus Ong Wei

“…To fill this gap, the present dissertation derives an analytical method based on this integral transform by applying it to the riemann-liouville integral and derivative, and the caputo derivative. …”
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Evaluating critical success factors in AI-driven drug discovery using AHP: a strategic framework for optimization by Mohamed Talib, Amir, Al-Hgaish, Areen Metib, Binti Atan, Rodziah, Alshammari, Abdulaziz, Omar Alomary, Fahad, Yaakob, Razali, Alsahli, Abdulaziz, Osman, Mohd Hafeez

“…However, its effectiveness depends on addressing key success factors that influence AI integration. This study presents a novel framework using the Analytic Hierarchy Process (AHP) to systematically evaluate and rank these factors, addressing a crucial gap in strategic planning for AI adoption in pharmaceutical research. …”
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Development of integrated models for distribution network design of perishable products by Firoozi, Zahra

“…A Lagrangian relaxationbased heuristic algorithm is developed to solve the model. The algorithm produces solutions that are within 0.027% of optimality gap.…”
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Enhancing pineapple cultivar classification: a framework for image quality, feature extraction, and algorithmic refinement by Ab Jabal, Mohamad Faizal, Rozlan, Muhammad Irfan, Suhaimi, Azrina, Hasmy, Harshida

“…The HSV colour space is validated as more effective for extracting skin features, with its threshold values and post-processing steps significantly reducing classification errors. The proposed algorithmic refinements integrate chromatic and morphological attributes, particularly surface area and optimise logical operators to enhance accuracy. …”
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Investigating photovoltaic solar power output forecasting using machine learning algorithms by Essam Y., Ahmed A.N., Ramli R., Chau K.-W., Idris Ibrahim M.S., Sherif M., Sefelnasr A., El-Shafie A.

“…However, more recent studies have demonstrated promising PV solar power output forecasting performances by the decision tree (DT), extreme gradient boosting (XGB), and long short-term memory (LSTM) algorithms. Therefore, the present study aims to address a research gap in this field by determining the best performer among these 5 algorithms. …”

Evaluation of machine learning algorithms in predicting CO 2 internal corrosion in oil and gas pipelines by Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J.

“…It is because there are still gaps on study on evaluating suitable machine learning algorithms for corrosion prediction. …”
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Evaluation of machine learning algorithms in predicting CO2 internal corrosion in oil and gas pipelines by Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J.

“…It is because there are still gaps on study on evaluating suitable machine learning algorithms for corrosion prediction. …”
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