|
|
|
|
|
Dmitry A. Konovalov, Natalie Swinhoe, Dina B. Efremova, R. Alastair Birtles, Martha Kusetic, Suzanne Hillcoat, Matthew I. Curnock, Genevieve Williams and Marcus Sheaves
A predictable aggregation of dwarf minke whales (Balaenoptera acutorostrata subspecies) occurs annually in the Australian waters of the northern Great Barrier Reef in June?July, which has been the subject of a long-term photo-identification study. Resear...
ver más
|
|
|
|
|
|
|
|
|
|
|
Youngkwang Kim, Woochan Kim, Jungwoo Yoon, Sangkug Chung and Daegeun Kim
This paper presents a practical contamination detection system for camera lenses using image analysis with deep learning. The proposed system can detect contamination in camera digital images through contamination learning utilizing deep learning, and it...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yujuan Cao, Jianguo Dai, Guoshun Zhang, Minghui Xia and Zhitan Jiang
This paper combines feature selection with machine learning algorithms to achieve object-oriented classification of crops in Gaofen-6 remote sensing images. The study provides technical support and methodological references for research on regional monit...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jerry Gao, Charanjit Kaur Bambrah, Nidhi Parihar, Sharvaree Kshirsagar, Sruthi Mallarapu, Hailong Yu, Jane Wu and Yunyun Yang
With the development of artificial intelligence, the intelligence of agriculture has become a trend. Intelligent monitoring of agricultural activities is an important part of it. However, due to difficulties in achieving a balance between quality and cos...
ver más
|
|
|
|
|
|
|
|
|
|
|
Quan Xu, Mengting Jin and Peng Guo
Timely and accurate information on crop planting structures is crucial for ensuring national food security and formulating economic policies. This study presents a method for high-precision crop classification using time-series UAV (unmanned aerial vehic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nithin Kumar, Nagarathna and Francesco Flammini
The most incredible diversity, abundance, spread, and adaptability in biology are found in insects. The foundation of insect study and pest management is insect recognition. However, most of the current insect recognition research depends on a small numb...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed Imran Basheer Ahmed, Rim Zaghdoud, Mohammed Salih Ahmed, Razan Sendi, Sarah Alsharif, Jomana Alabdulkarim, Bashayr Adnan Albin Saad, Reema Alsabt, Atta Rahman and Gomathi Krishnasamy
To constructively ameliorate and enhance traffic safety measures in Saudi Arabia, a prolific number of AI (Artificial Intelligence) traffic surveillance technologies have emerged, including Saher, throughout the past years. However, rapidly detecting a v...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kavitha Srinivasan, Sainath Prasanna, Rohit Midha, Shraddhaa Mohan
Pág. 1 - 20
Advances have been made in the field of Machine Learning showing that it is an effective tool that can be used for solving real world problems. This success is hugely attributed to the availability of accessible data which is not the case for many fields...
ver más
|
|
|
|
|
|
|
|
|
|
|
Youngki Park and Youhyun Shin
In this paper, we introduce an efficient approach to multi-label image classification that is particularly suited for scenarios requiring rapid adaptation to new classes with minimal training data. Unlike conventional methods that rely solely on neural n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ji-hwan Kim, Dong-seok Lee and Soon-kak Kwon
This paper proposes a method to classify food types and to estimate meal intake amounts in pre- and post-meal images through a deep learning object detection network. The food types and the food regions are detected through Mask R-CNN. In order to make b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Arantza Bereciartua-Perez, Gorka Duro, Jone Echazarra, Francico Javier González, Alberto Serrano and Liher Irizar
Glass bottle-manufacturing companies produce bottles of different colors, shapes and sizes. One identified problem is that seeds appear in the bottle mainly due to the temperature and parameters of the oven. This paper presents a new system capable of de...
ver más
|
|
|
|
|
|
|
|
|
|
|
Florin Dumitrescu, Bogdan Ceachi, Ciprian-Octavian Truica, Mihai Trascau and Adina Magda Florea
Space Surveillance and Tracking is a task that requires the development of systems that can accurately discriminate between natural and man-made objects that orbit around Earth. To manage the discrimination between these objects, it is required to analyz...
ver más
|
|
|
|
|
|
|
|
|
|
|
Iftikhar Ahmad, Yayun Yang, Yi Yue, Chen Ye, Muhammad Hassan, Xi Cheng, Yunzhi Wu and Youhua Zhang
Insect pests are a major element influencing agricultural production. According to the Food and Agriculture Organization (FAO), an estimated 20?40% of pest damage occurs each year, which reduces global production and becomes a major challenge to crop pro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hyobin Sunwoo, Wonjun Choi, Seunguk Na, Cheekyeong Kim and Seokjae Heo
As reconstruction and redevelopment accelerate, the generation of construction waste increases, and construction waste treatment technology is being developed accordingly, especially using artificial intelligence (AI). The majority of AI research project...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed Madiafi, Jamal Ezzahar, Kamal Baraka and Abdelaziz Bouroumi
In this paper, we propose a new neural architecture for object classification, made up from a set of competitive layers whose number and size are dynamically learned from training data using a two-step process that combines unsupervised and supervised le...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eatedal Alabdulkreem, Jaber S. Alzahrani, Nadhem Nemri, Olayan Alharbi, Abdullah Mohamed, Radwa Marzouk and Anwer Mustafa Hilal
Presently, autonomous systems have gained considerable attention in several fields such as transportation, healthcare, autonomous driving, logistics, etc. It is highly needed to ensure the safe operations of the autonomous system before launching it to t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeyang Zhang, Zhongcai Pei, Zhiyong Tang and Fei Gu
Traditional video object segmentation often has low detection speed and inaccurate results due to the jitter caused by the pan-and-tilt or hand-held devices. Deep neural network (DNN) has been widely adopted to address these problems; however, it relies ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Padmini Krishnadas, Krishnaraj Chadaga, Niranjana Sampathila, Santhosha Rao, Swathi K. S. and Srikanth Prabhu
Malaria poses a global health problem every day, as it affects millions of lives all over the world. A traditional diagnosis requires the manual inspection of blood smears from the patient under a microscope to check for the malaria parasite. This is oft...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jun-Hwa Kim, Namho Kim, Yong Woon Park and Chee Sun Won
SMD (Singapore Maritime Dataset) is a public dataset with annotated videos, and it is almost unique in the training of deep neural networks (DNN) for the recognition of maritime objects. However, there are noisy labels and imprecisely located bounding bo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zixu Wang, Chenwei Nie, Hongwu Wang, Yong Ao, Xiuliang Jin, Xun Yu, Yi Bai, Yadong Liu, Mingchao Shao, Minghan Cheng, Shuaibing Liu, Siyu Wang and Nuremanguli Tuohuti
Maize (Zea mays L.), one of the most important agricultural crops in the world, which can be devastated by lodging, which can strike maize during its growing season. Maize lodging affects not only the yield but also the quality of its kernels. The identi...
ver más
|
|
|
|
|
|