Institution
De La Salle University
Education•Manila, Philippines•
About: De La Salle University is a education organization based out in Manila, Philippines. It is known for research contribution in the topics: Population & Computer science. The organization has 2951 authors who have published 4374 publications receiving 49567 citations. The organization is also known as: Pamantasang De La Salle.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors focus on the current situation in the adaptation and adoption of industrial ecology in Asian Developing Countries (ADCs), and consider the possibilities to develop an eco-industrial development (EID) strategy for these developing countries.
174 citations
TL;DR: In this article, the authors investigated the criteria and attributes that determine a successful adoption and implementation of Cleaner Production (CP) in reference to PWB manufacture in Taiwan, and the results suggest a generic hierarchical model of organizations of which the highest level is to be prioritized among the CP implementation factors.
173 citations
01 Oct 2018
TL;DR: Two state of the art models are compared for object detection, Single Shot Multi-Box Detector with MobileNetV1 and a Faster Region-based Convolutional Neural Network (Faster-RCNN) with InceptionV2, and result shows that one model is ideal for real-time application because of speed and the other can be used for more accurate object detection.
Abstract: Vision systems are essential in building a mobile robot that will complete a certain task like navigation, surveillance, and explosive ordnance disposal (EOD). This will make the robot controller or the operator aware what is in the environment and perform the next tasks. With the recent advancement in deep neural networks in image processing, classifying and detecting the object accurately is now possible. In this paper, Convolutional Neural Networks (CNN) is used to detect objects in the environment. Two state of the art models are compared for object detection, Single Shot Multi-Box Detector (SSD) with MobileNetV1 and a Faster Region-based Convolutional Neural Network (Faster-RCNN) with InceptionV2. Result shows that one model is ideal for real-time application because of speed and the other can be used for more accurate object detection.
171 citations
TL;DR: This study evaluates the performance of synthetic SPIs by adopting fuzzy measure and analytical network process (ANP) method in a multi-nation original equipment manufacturing firm and indicates that the ANP is an effective method for identifying the primary criteria influencing SPIs at case firms.
167 citations
TL;DR: In this article, the authors synthesize existing literature to identify three fundamental questions that correspond to three distinct areas of knowledge necessary to understand farmer behaviour: 1) decision-making model; 2) cross-scale and cross-level pressures; and 3) temporal dynamics.
164 citations
Authors
Showing all 2995 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Shin-ichi Ohkoshi | 67 | 480 | 15208 |
| Raymond R. Tan | 51 | 446 | 9869 |
| Ming-Lang Tseng | 50 | 307 | 9968 |
| Dominic C. Y. Foo | 46 | 285 | 7007 |
| Masahiko Tani | 43 | 361 | 6446 |
| Denny K. S. Ng | 41 | 227 | 5089 |
| Rudy Setiono | 39 | 115 | 8361 |
| Michael Y. Roleda | 38 | 103 | 4156 |
| Arvin C. Diesmos | 36 | 112 | 6528 |
| Hideaki Kasai | 33 | 571 | 6033 |
| Anthony S.F. Chiu | 33 | 114 | 4732 |
| Joris De Schutter | 32 | 275 | 4524 |
| Maricar S. Prudente | 29 | 100 | 4693 |
| Kathleen B. Aviso | 29 | 195 | 2802 |
| Carlo Magno | 27 | 151 | 2449 |