Results 81 to 90 of about 13,926 (236)

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

COVID-19 E A PRÁTICA DE HEMOTRANSFUSÃO, ANTES E APÓS A VACINAÇÃO, NO HOSPITAL UNIVERSITÁRIO ANTÔNIO PEDRO

Hematology, Transfusion and Cell Therapy
Objetivo: Analisar a demanda por transfusões de sangue em pacientes com COVID-19, no Hospital Universitário Antônio Pedro (HUAP), durante a pandemia, e compará-la com o período pós-vacinação.
GCN Bezerra, FA Silva, IR Pereira, ADES Cucinelli   +3 more
doaj   +1 more source

Sand in the Wheels: Corruption, Governance, and the Quest for Sustainable Development in Sub‐Saharan Africa

Sustainable Development, EarlyView.
ABSTRACT How do governance quality and corruption jointly shape sustainable development? We analyze an unbalanced panel of 38 Sub‐Saharan African countries (2002–2021) employing PCSE and FGLS estimators. The model also includes controls for health expenditure, digitalization, unemployment, trade openness, and GDP.
Deniz Erenel, Halil Peçe, Cihan Necmi Günal   +2 more
wiley   +1 more source

Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns

Journal of Cloud Computing: Advances, Systems and Applications
In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series data, adept at addressing the inherent challenges posed by the data's complex, non-linear, and periodic nature, as well as the noise that frequently accompanies
Huimin Han, Harold Neira-Molina, Asad Khan, Meie Fang, Haitham A. Mahmoud, Emad Mahrous Awwad, Bilal Ahmed, Yazeed Yasin Ghadi   +7 more
doaj   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

A novel S-scheme heterojunction photocatalyst, Yb6Te5O19.2/g-C3N4: synthesis, characterization, photocatalytic activity, and mechanism

Scientific Reports
The increasing reliance on fossil fuels has led to a surge in atmospheric CO₂, intensifying global warming, whereas water contamination by organic pollutants presents another pressing global issue.
Chiing-Chang Chen, Chao-Wei Chen, Janah Shaya, Shuo-Yi Zhang, Yu-Yun Lin, Fu-Yu Liu, Jia-Hao Lin, Chung-Shin Lu   +7 more
doaj   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

α-Fe2O3/g-C3N4 nanocomposite with type II heterojunction for methylene blue photodegradation

Chemical Physics Impact
Recently, the widespread use of industrial dyes, such as methylene blue, is raising concerns about organic pollutants. These compounds can persist in the environment, contaminating water sources and harming aquatic ecosystems.
Soufiane Hmamouchi, Ahmed El Yacoubi, Mounir El Hezzat, Brahim Sallek, Brahim Chafik El Idrissi   +4 more
doaj   +1 more source

EGFR gene copy number as a predictive biomarker for the treatment of metastatic colorectal cancer with anti-EGFR monoclonal antibodies: a meta-analysis

Journal of Hematology & Oncology, 2012
Background Epidermal growth factor receptor gene copy number (EGFR GCN) has been heavily investigated as a potential predictive biomarker for the treatment of metastatic colorectal cancer (mCRC) with anti-EGFR monoclonal antibodies (MAbs).
Yang Zu-Yao, Shen Wei-Xi, Hu Xue-Feng, Zheng Da-Yong, Wu Xin-Yin, Huang Ya-Fang, Chen Jin-Zhang, Mao Chen, Tang Jin-Ling   +8 more
doaj   +1 more source