Search Results - (( intelligence based maps algorithm ) OR ( intelligence framework based algorithm ))

Tacit knowledge for business intelligence framework using cognitive-based approach by Surbakti, Herison

“…This work presents a systematic approach for capturing tacit knowledge to be used in a business intelligence framework. The approach is based on the theory of systematic functional linguistics, developed into interview protocols to be asked to tacit knowledge owners. …”
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Artificial intelligence for rapid mapping of potential archaeological features using bag of visual words based image classifier by Roslan, Shairatul Akma, Abd Rahim, Muhamad Sharifuddin, Yakub, Fitri, Kong, Yong Chee, Hj. Mohd. Noor, Norzailawati

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Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment by Al-Jumaili A.H.A., Muniyandi R.C., Hasan M.K., Singh M.J., Paw J.K.S.

“…In this paper, the optimised Apriori association rule algorithm is used as technical support to realise the function of interlocking fault diagnosis in the intelligent fault diagnosis system module. …”

A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy by Dewandaru, Agung

“…The results showed that the proposed algorithm is able to improve the map-matching accuracy as compared to the point-to-curve algorithm. …”
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy by Agung Dewandaru, Agung

“…Map-matching algorithms attempt to estimate vehicle route and location in it particular road map (or any restricting track such as rails, etc), in spite of the digital map errors and GPS inaccuracies. …”
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A preliminary lightweight random forest approach-based image classification for plant disease detection by Mashitah Ibrahim, Muzaffar Hamzah, Mohammad Fadhli Asli

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Artificial intelligence (AI) and its application in architecture design: a thematic review by Jin, Deran, Zairul, Mohd, Salih, Sarah Abdulkareem

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A framework for predicting oil-palm yield from climate data by Awan, A. Majid, Md. Sap, Mohd. Noor

“…Intelligent systems based on machine learning techniques, such as classification, clustering, are gaining wide spread popularity in real world applications. …”
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LSR-YOLO: a lightweight and fast model for retail products detection by Zhao, Yawen, Solihin, Mahmud Iwan, Yang, Defu, Cai, Bingyu, Chow, Li Sze, Handayani, Dini Oktarina Dwi, Prabuwono, Anton Satria

“…To address the high computational cost and slow detection speed of existing methods, this study proposes LSR-YOLO, a lightweight object detection framework based on YOLOv8n, designed for deployment in robots and intelligent devices. …”
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Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks by Rayner Alfred, Joe Henry Obit, Christie Chin Pei Yee, Haviluddin Haviluddin, Yuto Lim

“…Based on the proposed mapping framework, our conclusion is that an efficient and effective integration of all these three technologies is very crucial that transform traditional rice cultivation practices into a new perspective of intelligence in rice precision agriculture. …”
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Design of real time intelligent buses notification system for passengers by Muhammad, Rauf

“…In this dissertation, a new real time intelligent public transport movement monitoring system and station reporting based on GPS and succession of RF Radio Chips is presented. …”
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Adaptable decentralized orchestration engine for block structured non-transactional workflow in service oriented architecture. by Esfahani, Faramarz Safi

“…The latter considers the frequent-path adaptability and both of them together satisfy both frequent-path and proportionalfragment adaptability aspects; v) A Fuzzy Decentralization Decision Making algorithm (FDDM) is presented based on the fuzzy logic to choose a suitable method of decentralization that satisfies the three adaptability aspects frequent-path,proportional- fragment and available-bandwidth; and, vi) an algorithm is introduced for wiring of dynamic fragments. …”
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Real-time personal protective equipment compliance detection using you only look once by Nurhanisah, Aminuddin, Nor Azuana, Ramli, Pratondo, Agus

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Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari by Sattari, Mohammad Reza Jabbarpour

“…AVCAF collects real-time traffic data through vehicular networks to consider non-recurring congestion conditions in its routing mechanism via ant-based algorithm. The proposed framework is evaluated and validated through simulation environment. …”
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Stereo Camera-Based Aerial Target Geolocation in a Ground-Based Platform Environment by Amir Hilmi Bin Ahmad Azizi

A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks by Ismail, Azratul Ain Nadiah, Mohamad, Ahmad Nadzri

“…The findings suggest that employees are concerned about system biases and unconsented data usage for algorithmic decisions in employment practices. This includes the lack of transparency in using data mining tools and artificial intelligence. …”
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Unified framework for spam detection and risk assessment in short message communication media / Adewole Kayode Sakariyah by Adewole Kayode, Sakariyah

“…With promising results being gathered, a proof-of-concept study was conducted using an online assessment mode to demonstrate the applicability of the proposed framework. Based on the results gathered, this study has demonstrated that the proposed framework can be used to detect spam message and spam account as well as assess the risk level of spam accounts in SMCM.…”
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

“…The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. …”

A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption by Chiroma, H., Abdullahi, U.A., Hashem, I.A.T., Saadi, Y., Al-Dabbagh, R.D., Ahmad, M.M., Dada, G.E., Danjuma, S., Maitama, J.Z., Abubakar, A., Abdulhamid, S.�M.

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A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques by Abdulkareem, Karrar Hameed

“…A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques by Abdulkareem, Karrar Hameed …”
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