Search Results - (( developing formative stemming algorithm ) OR ( java visualization system algorithm ))

Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

“…This report details the development of an autonomous guide robot system for visually impaired individuals using the ROS 2 framework and the Wheeltec R550 Robot platform. …”
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Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin by Nasaruddin, Amir Hambaly

“…D3.js is used as a technology to visualize the result in interactive form or dynamic visualization which is a JavaScript library and Python is a language to program the system. …”
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Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure by Ramasamy, Chitra, Zolkepli, Maslina

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Graphical user interface for bounded-addition fuzzy splicing systems and their variants / Mathuri Selvarajoo ... [et al.] by Selvarajoo, Mathuri, Santono, Mohd Pawiro, Fong, Wan Heng, Sarmin, Nor Haniza

“…In this research, a graphical user interface is developed to generate all the splicing languages generated by bounded-addition fuzzy splicing systems and their variants. An algorithm is developed using JAVA and Visual Studio Code software in order to replace the time-consuming manual computation of the languages generated by bounded-addition fuzzy DNA splicing systems and their variants.…”
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Splicing system and their variants with fuzzy algebraic sum / Mohd Pawiro Santono Othman by Othman, Mohd Pawiro Santono

“…An algorithm is then developed in JAVA using visual code studio software to replace the time-consuming manual computation of the languages generated by algebraic sum fuzzy splicing systems and their variants. …”
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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Tacit knowledge for business intelligence framework using cognitive-based approach by Surbakti, Herison

“…The framework was tested on 23 librarians from several university libraries in West Java and Yogyakarta, Indonesia. The algorithm starts with a content targeted interview to identify the list of problems faced by librarians. …”
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Mitigation of shoulder-surfing attack on picture-based passwords using falsifying authentication methods / Por Lip Yee by Por, Lip Yee

“…Two falsifying authentication methods using: (i) penup event and neighbouring connectivity manipulation; and (ii) partial password selection and metaheuristic randomisation algorithm methods, were proposed. The first and second proposed methods were incorporated into the proposed Background Pass-Go (BPG) system and Visual Identification Protocol Professional (VIP Pro) system respectively. …”
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Sentiment analysis of customer reviews for Konda Kondi Cafe & Bistro by Abd Azizul Rahman, Munirah Syafiqah

“…The data was pre-processed using tokenization, stop-word removal, and stemming techniques to ensure quality inputs. Machine learning algorithms such as Support Vector Machine (SVM), Naive Bayes (NB), and Decision Tree (DT) were applied using RapidMiner to build classification models. …”
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Performance assessment of Sn-based lead-free solder composite joints based on extreme learning machine model tuned by Aquila optimizer by Temitope T., Dele-Afolabi, Masoud, Ahmadipour, Mohamed Ariff, Azmah Hanim, A.A., Oyekanmi, M.N.M., Ansari, Sikiru, Surajudeen, Kumar, Niraj

“…An extreme learning machine (ELM) prediction approach refined by Aquila optimizer (AO), a new cutting-edge metaheuristic optimization algorithm was utilized to develop a prediction model for the performance assessment of the developed solder composites. …”
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Performance assessment of Sn-based lead-free solder composite joints based on extreme learning machine model tuned by Aquila optimizer by Dele-Afolabi T.T., Ahmadipour M., Azmah Hanim M.A., Oyekanmi A.A., Ansari M.N.M., Sikiru S., Kumar N.

“…An extreme learning machine (ELM) prediction approach refined by Aquila optimizer (AO), a new cutting-edge metaheuristic optimization algorithm was utilized to develop a prediction model for the performance assessment of the developed solder composites. …”

Characterization of miR-3099-mediated posttranscriptional of target genes regulation during neurogenesis in mice by Zainal Abidin, Shahidee

“…The expression of miR-3099 was found elevated by 2-3 folds in 46C mouse embryonic stem (mES) cell upon neural induction. Then, predicted target gene of miR-3099 was further analysed by using four different prediction algorithms (miRDB, miRanda, TargetScan and DIANA-micro-T-CDS) and DAVID bioinformatics analysis with emphasis on target genes related to brain development and function. …”
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Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets by Pradhan, Biswajeet

“…The Mean Square Error (MSE) and Peak-Signal-to-Noise Ratio (PSNR) are calculated. The newly developed algorithm was applied to compress Light Detection and Ranging (LIDAR) data to check the efficiency of the program. …”
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