Search Results - (( safety segmentation using algorithm ) OR ( java application optimisation algorithm ))

Car plate recognition system : (segmentation) by Nor Helmy Effendy, Meon

“…In the research,One Pass Thinning algorithm and Partial Segmentation algorithm are the algorithms being applied.For each phase,the used technique produces quite a good result whereby it is to be discussed in detail in the thesis.…”
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Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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A pothole boundary detection algorithm using image segmentation technique in urban road by Mohd Shah, Hairol Nizam, Alshami, Abdallah M. M., Abdollah, Mohd Fairus, Ab Rashid, Mohd Zamzuri, Arshad, Mohd Ali

“…This study introduces a specialized algorithm designed to precisely detect and delineate the boundaries of potholes using advanced image segmentation techniques. …”
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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification by Ling, Hui Yean

“…This study investigated the feasibility and effectiveness of image-based techniques using advanced deep learning algorithms to quantify desiccation cracks in expansive soils. …”
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Enhanced weight-based clustering algorithm to provide reliable delivery for VANET safety applications by Bello Tambawal, Abubakar, Noor, Rafidah Md, Salleh, Rosli, Chembe, Christopher, Oche, Michael

“…This has led to unstable clusters which could affect the timely delivery of safety applications. In this study, enhanced weight-based clustering algorithm (EWCA) was developed to address these challenges. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Structural crack detection using deep convolutional neural network / Raza Ali by Raza , Ali

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Boosted HOG features and its application on object movement detection by Watada, J., Zhang, H., Melo, H., Sun, D., Vasant, P.

“…On that basis, we create a new feature with boosting algorithm to obtain more accurate result. In detecting vehicles part, we use the shadow underneath vehicle as the feature, so we can utilize it to detect vehicles in daytime. …”
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Boosted HOG features and its application on object movement detection by Watada, J., Zhang, H., Melo, H., Sun, D., Vasant, P.

“…On that basis, we create a new feature with boosting algorithm to obtain more accurate result. In detecting vehicles part, we use the shadow underneath vehicle as the feature, so we can utilize it to detect vehicles in daytime. …”
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Lane markings detection based on e-maxima transformation and improved hough by Xiao, Rui

“…The feature of roadway has certain degree of curvature and constraints, for instance, no sudden road turn is the design for road safety driving. A short segment of a long curve with a relatively low curvature is approximated as a straight line, based on this point, the important contribution of this thesis presents a lane detection algorithm using E-MAXIMA transformation and improved Hough transform which is the algorithm with great efficiency, high robustness and also at low cost to detect road lane markings. …”
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A coverage path planning approach for autonomous radiation mapping with a mobile robot by Abd Rahman N.A., Sahari K.S.M., Hamid N.A., Hou Y.C.

CNN architectures for road surface wetness classification from acoustic signals by Bahrami, Siavash, Doraisamy, Shyamala, Azman, Azreen, Nasharuddin, Nurul Amelina, Yue, Shigang

“…To avoid overfitting, we used a 50% dropout layers before the final dense layers with both architectures. …”
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Artificial intelligence revolutionising the automotive sector: A comprehensive review of current insights, challenges, and future scope by Hossain, Md Naeem, Rahim, Md. Abdur, Rahman, Md Mustafizur, D., Ramasamy

“…The review highlights that AI has significantly expedited the development of autonomous vehicles regarding navigation, decision-making, and safety features through the use of advanced algorithms and deep learning structures. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein, Hussein A. M, Abdul Rahim, Sharafiz, Mustapha, Faizal B., Krishnan, Prajindra S., Abdul Jalil, Nawal Aswan

“…The FRF signals were captured using accelerometers to monitor the structural health of the pipeline. …”
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Crowd behavior monitoring using self-adaptive social force model by Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali

“…Instead of using any segmentation methods, the motion of particles in each frame is captured by particle advection method. …”
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Smart Microgrid approach for Distributed power generation of renewable energy by Khushi, Farha, Motakabber, S. M. A., Ahmed Hamida, Belal, Azman, Amelia Wong, Bhattacharjee, Amit

“…The Faulty Location Detection (FLD) process is centered by wavelet trigger signal and mathematical morphology algorithm. In the method, the wavelet trigger signal caused by the equivalent current or voltage for a short time, travels to both terminals of the line are simulated to identify whether the fault occurs in the short branch using mathematical morphology algorithm. …”
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A hierarchical deep convolutional neural network for asphalt pavement crack detection and classification / Nor Aizam Muhamed Yusof by Muhamed Yusof, Nor Aizam

“…This image is captured using NIKON digital camera and segmented into patches (32×32 pixels) as a training dataset from the original pavement cracks. …”
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Development of a real-time in car physiological acquisition system for monitoring attention drifting phenomenon by Zaid, Zulhilmi

“…The signal then goes into Arduino Due. Here the signal is segmented into 500 single-trials of 500 ms for further noise removal using the averaging technique. …”
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