Showing 20 of 950 academic articles
Jinzhou Luo, Jiazhao Sun, Xiaoli Hao, Heng Liu et al. • Insects
(2026)
Myzus persicae is the most devastating piercing-sucking pest threatening tobacco production. Precise quantification of infestation severity is a prerequisite for precision pest management, making the integration of visual image analysis hig...
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Open Access (DOAJ)
DOI: 10.3390/insects17030305
Xuefei Yu, Jinan Gu, Zedong Huang, Zhijie Zhang • PLoS ONE
(2022)
Recent stereo matching methods, especially end-to-end deep stereo matching networks, have achieved remarkable performance in the fields of autonomous driving and depth sensing. However, state-of-the-art stereo algorithms, even with the deep...
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Open Access (DOAJ)
Zhiwen Xiong, Yuanchun Li • Scientific Reports
(2026)
Abstract Salient object detection (SOD) plays a crucial role in computer vision by mimicking human visual attention to identify and segment the most prominent objects in a scene. The advent of depth sensing technologies has propelled RGB-D ...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-56237-7
Tryan Aditya Putra, Syahidah Izza Rufaida, Jenq-Shiou Leu • IEEE Access
(2020)
In recent years, deep learning has taken the spotlight in automated medical bioimaging. However, the performance of current state-of-the-art score stems primarily from well-tuned parameters and architecture. There is still only limited rese...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.2976045
Sanjay Goswami, Kshama D. Dhobale, Ravindra D. Wavhale, Barnali Goswami et al. • Applied AI Letters
(2022)
Abstract The field of cancer nanomedicine has made significant progress, but its clinical translation is impeded by many challenges, such as the difficulty in analyzing intracellular anticancer drug release by the nanocarriers due to the la...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ail2.50
Faisal Mehmood, Shabir Ahmad, Taeg Keun Whangbo • Mathematics
(2023)
Deep learning is a sub-branch of artificial intelligence that acquires knowledge by training a neural network. It has many applications in the field of banking, automobile industry, agriculture, and healthcare industry. Deep learning has pl...
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Open Access (DOAJ)
DOI: 10.3390/math11061360
Jie Lu, Wenpeng Zhang, Yongxiang Liu, Wei Yang • Remote Sensing
(2022)
The fine state of targets can be represented by the extracted micro-Doppler (m-D) components from the radar echo. However, current methods do not consider the specialty of the m-D components, and their performance with non-sinusoidal compon...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs14194764
Younes Noutfia, Ewa Ropelewska, Zbigniew Jóźwiak, Krzysztof Rutkowski • Sensors
(2024)
The emergence of new technologies focusing on “computer vision” has contributed significantly to the assessment of fruit quality. In this study, an innovative approach based on image analysis was used to assess the external quality of fresh...
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Open Access (DOAJ)
DOI: 10.3390/s24237560
Timothée Corchia, Bertrand Bonan, Nemesio Rodríguez-Fernández, Gabriel Colas et al. • Remote Sensing
(2023)
In this work, Advanced SCATterometer (ASCAT) backscatter data are directly assimilated into the interactions between soil, biosphere, and atmosphere (ISBA) land surface model using Meteo-France’s global Land Data Assimilation System (LDAS-M...
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Open Access (DOAJ)
DOI: 10.3390/rs15174258
Giulio Bondanelli, Thomas Deneux, Brice Bathellier, Srdjan Ostojic • eLife
(2021)
Across sensory systems, complex spatio-temporal patterns of neural activity arise following the onset (ON) and offset (OFF) of stimuli. While ON responses have been widely studied, the mechanisms generating OFF responses in cortical areas h...
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Open Access (DOAJ)
DOI: 10.7554/eLife.53151
Esteban G. Contreras, Tomás Palominos, Álvaro Glavic, Andrea H. Brand et al. • Scientific Reports
(2018)
Abstract Precise control of neurite guidance during development is essential to ensure proper formation of neuronal networks and correct function of the central nervous system (CNS). How neuronal projections find their targets to generate a...
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Open Access (DOAJ)
DOI: 10.1038/s41598-018-31654-5
Uihoon Jung, Miseong Kim, Jaewon Jang, Jin‐Hyuk Bae et al. • Advanced Science
(2024)
Abstract With increasing demand for wearable electronics capable of computing huge data, flexible neuromorphic systems mimicking brain functions have been receiving much attention. Despite considerable efforts in developing practical neural...
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Open Access (DOAJ)
DOI: 10.1002/advs.202307494
Daiki X. Sato, Yukiko U. Inoue, Nahoko Kuga, Satoko Hattori et al. • iScience
(2022)
Summary: The human vesicular monoamine transporter 1 (VMAT1) harbors unique substitutions (Asn136Thr/Ile) that affect monoamine uptake into synaptic vesicles. These substitutions are absent in all known mammals, suggesting their contributio...
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Open Access (DOAJ)
DOI: 10.1016/j.isci.2022.104800
RT Pramod, Michael A Cohen, Joshua B Tenenbaum, Nancy Kanwisher • eLife
(2022)
Successful engagement with the world requires the ability to predict what will happen next. Here, we investigate how the brain makes a fundamental prediction about the physical world: whether the situation in front of us is stable, and henc...
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Open Access (DOAJ)
DOI: 10.7554/eLife.71736
Zhiquan He, Meshari Alazmi, Jingfen Zhang, Dong Xu • PLoS ONE
(2013)
Quality assessment (QA) for predicted protein structural models is an important and challenging research problem in protein structure prediction. Consensus Global Distance Test (CGDT) methods assess each decoy (predicted structural model) b...
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Open Access (DOAJ)
DOI: 10.1371/journal.pone.0074006
Nguyễn Chí Ngôn, Trần Thanh Hùng, Trương Thị Thanh Tuyền, Nguyễn Thái Nghe • Tạp chí Khoa học Đại học Cần Thơ
(2005)
Bài báo đề cập đến một giải pháp ứng dụng mạng nơ-ron nhân tạo (Artificial neural networks) để điều khiển thiết bị bằng giọng nói tiếng Việt. Phép biến đổi Fourier thời gian ngắn - STFT (Short time Fourier Transform) được áp dụng để trích c...
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Open Access (DOAJ)
Francisco J Zamora-Martínez, Salvador España-Boquera, Maria Jose Castro-Bleda, Adrian Palacios-Corella • PLoS ONE
(2018)
This paper presents a new method to reduce the computational cost when using Neural Networks as Language Models, during recognition, in some particular scenarios. It is based on a Neural Network that considers input contexts of different le...
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Open Access (DOAJ)
DOI: 10.1371/journal.pone.0200884
Yuchao Feng, Jianwei Zheng, Mengjie Qin, Cong Bai et al. • Remote Sensing
(2021)
Owing to the outstanding feature extraction capability, convolutional neural networks (CNNs) have been widely applied in hyperspectral image (HSI) classification problems and have achieved an impressive performance. However, it is well know...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs13214407
Wu Huiyong, Zunlong Wang • PLoS ONE
(2025)
With the increasing complexity and prosperity of global financial markets, stock market forecasting plays a critical role in investment decision-making, market regulation, and economic planning. This study proposes a hybrid prediction model...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0330324
Ji Su Hwang, Seok Gi Kim, Tae Hwan Shin, Yong Eun Jang et al. • Pharmaceutics
(2022)
Cancer is a group of diseases causing abnormal cell growth, altering the genome, and invading or spreading to other parts of the body. Among therapeutic peptide drugs, anticancer peptides (ACPs) have been considered to target and kill cance...
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Open Access (DOAJ)
DOI: 10.3390/pharmaceutics14050997