Search Results - (( java implementation path algorithm ) OR ( using rice based 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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Ensemble and single algorithm models to handle multicollinearity of UAV vegetation indices for predicting rice biomass by Derraz, Radhwane, Muharam, Farrah Melissa, Nurulhuda, Khairudin, Ahmad Jaafar, Noraini, Keng Yap, Ng

“…Nevertheless, VIs are collinear, and their analyses require machine learning algorithms (MLs). The analysis of collinear VIs using base (single) and ensemble MLs is yet to be investigated. …”
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Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…The redundant wavelength was removed and the wavelength features that are strongly associated with the moisture content of glutinous rice were chosen using the competitive adaptive reweighted sampling algorithm (CARS). …”
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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

“…This paper also presents a framework that maps the activities defined in rice smart farming, data used in data modelling and machine learning algorithms used for each activity defined in the production and post-production phases of paddy rice. …”
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A connectionist model to predict rice yield based on disease infection by Kamaruddin, Siti Sakira

“…Advance changes in technology, economy and business environment are influencing all sectors including agriculture.Rice as the worlds main dietary food is experiencing a decrease in yield due to the infection of pests and diseases, decreasing level of water sources, the scarcity of suitable land for agriculture and inefficient labour management.Rice Yield losses of approximately 31.5% were attributed to rice plant related diseases.This work describes the development of a connectionist model to predict the rice yield based on the amount of area infected by rice diseases.The Back Propagation learning algorithm were used with 5 input parameters which represents the planting seasons; the plantation district and the 3 main deadly disease recordings from the Muda Agricultural area in Malaysia during various planting seasons from 1995-2001. …”
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Prediction of rice biomass using machine learning algorithms by Radhwane, Derraz

“…Unmanned aerial vehicles (UAVs) may address these issues. Machine learning algorithms (MLs) can predict rice biomass from UAV-based vegetation indices (VIs). …”
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A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework by Bari, Bifta Sama, Islam, Md Nahidul, Rashid, Mamunur, Hasan, Md Jahid, Mohd Azraai, Mohd Razman, Musa, Rabiu Muazu, Ahmad Fakhri, Ab. Nasir, Majeed, Anwar P.P. Abdul

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A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Ghazvini, Anahita, Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lee, Lai Soon

“…This research embarks on an exploration of the synergy between precision agriculture, crop modeling, and regression algorithms to create a digital twin for farmers to augment the concentration and composition prediction-based crop nutrient recovery. …”
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A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lai, Soon Lee, Ghazvini, Anahita

“…This research embarks on an exploration of the synergy between precision agriculture, crop modeling, and re-gression algorithms to create a digital twin for farmers to augment the concentration and compo-sition prediction-based crop nutrient recovery. …”
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Artificial intelligence prediction model for swelling potential of soil and quicklime activated rice husk ash blend for sustainable construction by Onyelowe, Kennedy C., Jalal, Fazal E., Onyia, Michael E., Onuoha, Ifeanyichukwu C., Alaneme, George U., Ikpa, Chidozie

“…Artificial intelligence (AI) algorithms of adaptive neuro-fuzzy inference system or the adaptive network-based fuzzy inference system (ANFIS) has been deployed to predict the swelling potential (SP) of treated weak soil. …”
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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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Hyperspectral imaging for detection of macronutrients retained in glutinous rice under different drying conditions by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah, Megat Ahmad Azman, Puteri Nurain, Onwude, Daniel I.

“…Applying Savitzky Golay first derivatives (SG1D) method increases the Rp2 value to 0.9972, 0.9970, 0.9857 and 0.9972 for PC, MC, FC, and AC, respectively. Using the variable iterative space shrinkage algorithm (VISSA) as EWs reduces the spectral bands by over 60%, and this increases the accuracy of the model (SG1D-VISSA-PLSR) to 100%. …”
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Evaluation of quality attributes and milling metrics of glutinous rice stored under different storage conditions using infrared thermal imaging by Dasore, Abhishek, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Mohd Ali, Maimunah, Ageh, Opeyemi Michael

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Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO by Sebayang, A.H., Kusumo, F., Milano, J., Shamsuddin, A.H., Silitonga, A.S., Ideris, F., Siswantoro, J., Veza, I., Mofijur, M., Reen Chia, S.

“…Based on the ANN-GWO algoritm used, the optimum conditions for the process parameters were (1) methanol to oil ratio: 60, (2) concentration of catalyst: 1 wt, (3) time: 7.76 min, leading to the metyl ester yield of 98.16 wt. …”
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Estimation of microclimate parameters on infestation rate of yellow stem borer (Scirpophaga incertulas) on MR297 rice variety by Idris, Dauda

“…However, information on the estimation of microclimate parameters in Malaysia on the infestation rate of yellow stem borer on MR297 rice variety is still not studied. The use of Artificial Neuron Network (ANN) and Multi-Linear Regression (MLR) in forecasting pest infestation and development has been used. …”
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Optimization of energy inputs and greenhouse gas emissions of wetland rice cultivation in Malaysia by Elsoragaby, Suha Gaafar Babekir

“…Later, the energy inputs and GHG emissions were optimized using the multi objective genetic algorithm (MOGA) analysis techniques. …”
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Development of submergence tolerant rice variety through marker-assisted backcross breeding between MR219 and Swarna-Sub1 by Ahmed, Fahim

“…Out of 13 foreground and recombinant primers for submergence tolerance in rice, 3 polymorphic primers, namely RM8300, RM219 and RM23805 were used to identify the target gene. …”
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