Search Results - (( developing development community algorithm ) OR ( java implication _ algorithm ))

New Generalized Algorithm for Developing k-Step Higher Derivative Block Methods for Solving Higher Order Ordinary Differential Equations by Adeyeye, Oluwaseun, Omar, Zurni

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Survey on language processing algorithm for sign language synthesizer by Maarif, Haris Al Qodri, Akmeliawati, Rini, Gunawan, Teddy Surya

“…In general, we can divide the main contribution in solving the communication problem of the HSI community into two types, the first involves the development of automatic SL translators which allow the non-HSI communities to understand the messages conveyed by the HSI people, and the second relates to the development of SL synthesizers which allow the non-HSI community to pass their messages to HSI people. …”
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Collaborative-based web recommender system for community-driven homestay programmes by Miraz, Mahadi Hasan

“…Hence, a HP promotes community-based tourism (CBT) and acts as a catalyst for rural community development. …”
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A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions by Syaripudin, Undang

“…The results of the LSA algorithm combined with the OpenAI algorithm are compared with the results of expert assessments. …”
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Implementation of Hybrid Indexing, Clustering and Classification Methods to Enhance Rural Development Programme in South Sulawesi by Muhammad, Faisal

“…The objectives of this research are to develop a community standard of living index based on verified criteria collected from selected communities, to cluster the village based on the community standard of living index, to classify a village based on the Developing Village Index(DVI), Human Development Index(HDI), and Community Standard of Living Index(CSLI), and to map the relevant experts with the priority needs of a village based on the input from the villages. …”
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A Community-Based Fault Isolation Approach for Effective Simultaneous Localization of Faults by Zakari, Abubakar, Lee, Sai Peck, Targio Hashem, Ibrahim Abaker

“…This paper proposes a new approach that makes use of a divisive network community clustering algorithm to isolate faults into separate fault-focused communities that target a single fault each. …”
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Development of an adaptive business insolvency classifier prototype (AVICENA) using hybrid intelligent algorithms by Ab. Aziz, Azizi, Siraj, Fadzilah, Zakaria, Azizi

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Digital media-enhanced cultural brand development: creative strategies for urban identity construction by Wei, Zhang, Mastika, Lamat

“…This study investigates digital media-enhanced cultural brand development through creative strategies for urban identity construction, aiming to develop a comprehensive framework that extends integrated marketing communication theory while preserving cultural authenticity and enabling community participation. …”
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Optimizing solar streetlight systems for sustainable urban and community development by Jun, L. W., Zabri, Siti Normi, Mohd Kassim, N. S., Mohamad, Sarah Yasmin

“…Additionally, a smart LED control algorithm was developed to minimize energy consumption by dynamically adjusting light output based on demand and availability of stored energy. …”
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Bio-inspired computation: Recent development on the modifications of the cuckoo search algorithm by Haruna, Chiroma, Herawan, Tutut, Iztok, Fister Jr, Iztok, Fister, Abdulkareem, Sameem, Shuib, Liyana, Mukhtar, Fatihu Hamza, Younes, Saadi, Abubakar, Adamu

“…Presently, the Cuckoo Search algorithm is attracting unprecedented attention from the research community and applications of the algorithm are expected to increase in number rapidly in the future. …”
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A review on monocular tracking and mapping: from model-based to data-driven methods by Gadipudi, N., Elamvazuthi, I., Izhar, L.I., Tiwari, L., Hebbalaguppe, R., Lu, C.-K., Doss, A.S.A.

“…Finally, the popular benchmarks available for developing and evaluating these algorithms are presented along with a comparative study on a different class of algorithms. …”
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Identifying and predicting Muslim’s community funeral funding protocols by Ibrahim, Izzul Ismail, M Ashhuri, Muhammad Hassan, Hassan, Raini

“…This research aims to understand funeral poverty among the Muslim community in Malaysia by using Machine Learning algorithms. …”
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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor by Nizam, Yoosuf, Haji Mohd, Mohd Norzali, Abdul Jamil, M. Mahadi

“…Related studies have employed wearable, non-invasive sensors, video cameras and depth sensor-based approaches to develop such monitoring systems. The proposed approach in this study uses a depth sensor and employs a unique procedure which identifies the fall risk levels to adapt the algorithm for different people with their physical strength to withstand falls. …”
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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor by Nizam, Yoosuf, Haji Mohd, Mohd Norzali, Abdul Jamil, Muhammad Mahadi

“…Related studies have employed wearable, non-invasive sensors, video cameras and depth sensor-based approaches to develop such monitoring systems. The proposed approach in this study uses a depth sensor and employs a unique procedure which identifies the fall risk levels to adapt the algorithm for different people with their physical strength to withstand falls. …”
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Intelligent DNA signature detection for internet worms by Ghazali, Osman

“…Internet scanning worms are widely regarded to be a major security threat faced by the Internet community today. Active worms spread in an automated fashion flooding the Internet in a very short time.Slammer worm infected more than 90% of vulnerable machines within 10 minutes on January 25th, 2003.Hence it is necessary to monitor and detect the worms as soon as they are introduced to minimize the damage caused by them.This project concentrates on developing an anti-scanning worm detection system that can automatically detect and control the spread of internet scanning worms without any manual intervention.The Intelligent Failure Connection Algorithm (IFCA) developed in this project can detect both stealth and normal worms within a short time.Experiments conducted as part of the evaluation shows that IFCA detects a worm within two scanning cycles of the worm.This is faster than any of the currently available algorithms or mechanisms reported in the literature.The IFCA uses Artificial Immune System (AIS) for the purpose of monitoring and detecting the worms.The Traffic Signature Algorithm (TSA) developed in the project captures the traffic signature of the worm from the infector when it sends the traffic to the victim.The Intelligent DNA Signature Detection Algorithm (IDNASDA) algorithm works by breaking an infection session into different infection phases, each phase containing a number of different traffic such as Internet Control Message Protocol (ICMP), Transmission Control Protocol (TCP), or User Datagram Protocol (UDP).Finally it converts the traffic signature to DNA signature.The tests carried out show that the IDNASD could detect DNA signature for MSBlaster worm.…”
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Early prediction of dengue outbreak using Artificial Neural Network (ANN) / Muhammad Sirajuddin Ismail by Ismail, Muhammad Sirajuddin

“…This study aims to investigate the requirements of utilizing the Artificial Neural Network algorithm for prediction of dengue outbreak. The objective is to develop Dengue Outbreak Prediction System using Artificial Neural Network algorithm and evaluate its performance. …”
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Development and implementation of a technique for norms-adaptable agents in open multi-agent communities by Mahmoud M., Ahmad M.S., Mohd Yusoff M.Z.

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

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Robust overlapping community detection in complex networks with graph convolutional networks and fuzzy C-means by Mohammed Al-Andoli, Mohammed Nasser, Che Ku Mohd, Che Ku Nuraini, Harny, Irianto, Jamil Alsayaydeh, Jamil Abedalrahim, Alwayle, Ibrahim M., Ahmed Abuhoureyah, Fahd Saad

“…Furthermore, FCM is guided by the modularity Q algorithm for accurate community identification without requiring prior knowledge of the community count. …”
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A heuristic approach for finding similarity indexes of multivariate data sets by Khan, Rahim, Zakarya, Muhammad, Khan, Ayaz Ali, Ur Rahman, Izaz, Abd Rahman, Mohd Amiruddin, Abdul Karim, Muhammad Khalis, Mustafa, Mohd Shafie

“…However, classical techniques are sensitive to outliers and most of the non-classical approaches are either problem/application specific or overlay complex. Therefore, the development of an efficient and reliable algorithm for MDSs, with minimum time and space complexity, is highly encouraged by the research community. …”
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