Search Results - (( java implementation path algorithm ) OR ( programming long learning algorithm ))

Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat by Fatima, Jannat

“…The Long Short-term Memory (LSTM) deep learning model was chosen for classifying programming learners according to their performance. …”
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

“…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through use of a robust and efficient optimization algorithm in learning process of GEP approach. To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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Machine learning predictions of stock market pattern using Econophysics approach by Roslan, Nur Nadia Hani, Abdullah, Shahino Mah

“…By leveraging machine learning algorithms, such as Long Short-Term Memory (LSTM), the predictions generated closely follow the actual stock price movements for Inari Amertron Berhad. …”
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BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning by Chimeleze C., Jamil N., Ismail R., Lam K.-Y., Teh J.S., Samual J., Akachukwu Okeke C.

Measuring GPU-accelerated parallel SVM performance using large datasets for multi-class machine learning problem by Sulaiman M.A.H.B., Suliman A., Ahmad A.R.

Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows by Zhang, Shasha, Dong, Qiming, Yasin, Megat Al Imran, Fang, Ng Chwee

“…During the feature extraction part, different machine-learning models are applied: Bidirectional Encoder Representations from Transformers (BERT) or Enhanced Representation through Knowledge Integration (ERNIE) for text; Convolutional Recurrent Neural Network (CRNN), and Bidirectional Long Short-Term Memory (Bi-LSTM) for audio; and Residual Neural Network (ResNet50) and Inflated 3D Convolutional Network (I3D) for video. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by ZUBAIR ADEL SOOMRO, ZUBAIR ADEL SOOMRO, SHAMSUDIN, ABU UBAIDAH, ABD RAHIM, RUZAIRI, ANDI ADRIANSHAH, ANDI ADRIANSHAH, MOHD HAZELI, MOHD HAZELI

“…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADIL, SHAMSUDIN, ABU UBAIDAH, ABD RAHIM, RUZAIRI, ADRIANS, ANDI, HAZELI, MOHD

“…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABD HALIM, RUZAIR1, ADRIAN, ANDI, HAZELI, MOHD

“…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. …”
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Non-Verbal Human-Robot Interaction Using Neural Network for The Application of Service Robot by Soomro, Zubair Adil, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi, Adrianshah, Andi, Hazeli, Mohd

“…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZIJBAIR ADEL, SHANISUDIN, ABU UBAIDAH, Abdul Rahim, Ruzairi, Adrianshah, Andi, Hazeli, Mohd

“…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABDUL RAHIM, RUZAIRI, ADRIANSHAH, ANDI, MOHD HAZELI, MOHD HAZELI

“…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. …”
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NON-VERBAL HUMAN-ROBOT INTERACTION USING NEURAL NETWORK FOR THE APPLICATION OF SERVICE ROBOT by SOOMRO, ZUBAIR ADEL, SHAMSUDIN, ABU UBAIDAH, ABDUL RAHIM, RUZAIRI, ANDI ADRIANSHAH, ANDI ADRIANSHAH, MOHD HAZELI, MOHD HAZELI

“…The face tracking model was trained using a Long Short-Term Memory (LSTM) neural network, which is based on deep learning. …”
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Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques by Jifroudi, Hamidreza Maskani

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Translating medical image to radiological report: Adaptive multilevel multi-attention approach by Gajbhiye, G.O., Nandedkar, A.V., Faye, I.

“…The Word2Vec and FastText word embeddings are trained on medical reports to acquire radiological knowledge and further used as textual encoders, feeding as input to Bi-directional Long Short Term Memory (Bi-LSTM) network to learn the co-relationship between medical terminologies in radiological reports. …”
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