Adaptive data aggregation scheme in clustered wireless sensor networks H Chen, H Mineno, T Mizuno Computer Communications 31 (15), 3579-3585, 2008 | 132 | 2008 |
Flexible resource block allocation to multiple slices for radio access network slicing using deep reinforcement learning Y Abiko, T Saito, D Ikeda, K Ohta, T Mizuno, H Mineno IEEE Access 8, 68183-68198, 2020 | 100 | 2020 |
A reliable wireless control system for tomato hydroponics H Ibayashi, Y Kaneda, J Imahara, N Oishi, M Kuroda, H Mineno Sensors 16 (5), 644, 2016 | 85 | 2016 |
Multi-modal sliding window-based support vector regression for predicting plant water stress Y Kaneda, S Shibata, H Mineno Knowledge-Based Systems 134, 135-148, 2017 | 63 | 2017 |
Sliding window-based support vector regression for predicting micrometeorological data Y Kaneda, H Mineno Expert Systems with Applications 59, 217-225, 2016 | 50 | 2016 |
A meta-data-based data aggregation scheme in clustering wireless sensor networks H Chen, H Mineno, T Mizuno 7th International Conference on Mobile Data Management (MDM'06), 154-154, 2006 | 48 | 2006 |
Leaf-movement-based growth prediction model using optical flow analysis and machine learning in plant factory S Nagano, S Moriyuki, K Wakamori, H Mineno, H Fukuda Frontiers in plant science 10, 227, 2019 | 47 | 2019 |
Multimodal neural network with clustering-based drop for estimating plant water stress K Wakamori, R Mizuno, G Nakanishi, H Mineno Computers and electronics in agriculture 168, 105118, 2020 | 36 | 2020 |
Adaptive home/building energy management system using heterogeneous sensor/actuator networks H Mineno, Y Kato, K Obata, H Kuriyama, K Abe, N Ishikawa, T Mizuno 2010 7th IEEE Consumer Communications and Networking Conference, 1-5, 2010 | 35 | 2010 |
Energy monitoring system using sensor networks in residential houses A Hashizume, T Mizuno, H Mineno 2012 26th International Conference on Advanced Information Networking and …, 2012 | 33 | 2012 |
Tomato flower detection and counting in greenhouses using faster region-based convolutional neural network UF Rahim, H Mineno Journal of Image and Graphics 8 (4), 107-113, 2020 | 30 | 2020 |
Multiple paths protocol for a cluster type network H Mineno, S Ishihara, K Ohta, M Aono, T Ideguchi, T Mizuno International Journal of Communication Systems 12 (5‐6), 391-403, 1999 | 30 | 1999 |
Deep learning-based accurate grapevine inflorescence and flower quantification in unstructured vineyard images acquired using a mobile sensing platform UF Rahim, T Utsumi, H Mineno Computers and Electronics in Agriculture 198, 107088, 2022 | 22 | 2022 |
Optical flow-based analysis of the relationships between leaf wilting and stem diameter variations in tomato plants K Wakamori, H Mineno Plant Phenomics, 2019 | 22 | 2019 |
Implementing and evaluating priority control mechanism for heterogeneous remote monitoring IoT system T Tachibana, T Furuichi, H Mineno Adjunct Proceedings of the 13th International Conference on Mobile and …, 2016 | 21 | 2016 |
Greenhouse environmental control system based on SW-SVR Y Kaneda, H Ibayashi, N Oishi, H Mineno Procedia Computer Science 60, 860-869, 2015 | 20 | 2015 |
An energy-aware routing scheme with node relay willingness in wireless sensor networks Y Obashi, H Chen, H Mineno, T Mizuno International Journal of Innovative Computing, Information and Control 3 (3 …, 2007 | 20 | 2007 |
Development and evaluation of smart tap type Home Energy Management System using sensor networks K Abe, H Mineno, T Mizuno 2011 IEEE Consumer Communications and Networking Conference (CCNC), 1050-1054, 2011 | 19 | 2011 |
Adaptive data aggregation for clustered wireless sensor networks H Chen, H Mineno, Y Obashi, T Kokogawa, T Mizuno Ubiquitous Intelligence and Computing: 4th International Conference, UIC …, 2007 | 19 | 2007 |
Radio resource allocation method for network slicing using deep reinforcement learning Y Abiko, T Saito, D Ikeda, K Ohta, T Mizuno, H Mineno 2020 International Conference on Information Networking (ICOIN), 420-425, 2020 | 18 | 2020 |