Results 201 to 210 of about 452,497 (311)

Intelligent fire detection in agriculture using machine learning and embedded systems for risk prevention and improved sustainability. [PDF]

Sci Rep
Morchid A, Elbasri A, Qjidaa H, El Alami R, Bossoufi B, Mobayen S, Skruch P.   +6 more
europepmc   +1 more source

Economics of sustainable forest management

Forest Policy and Economics, 2004
openaire   +2 more sources

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

AI-enabled smart farming framework for sustainable date palm cultivation in arid regions using machine learning and IoT integration. [PDF]

Sci Rep
Qwaid MA, Sarker MT, Shawon SM, Zubair HT.   +3 more
europepmc   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Urban agroforestry compositions influence ecosystem multifunctionality and service interactions. [PDF]

Sci Rep
Zhai C, Geng R, Liu G, Bao G, Wang G, Zhang Z, Liu T.   +6 more
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

European forestry systems mirror social-ecological diversity but closer-to-nature forest management and landscape planning are also required. [PDF]

Sci Rep
Angelstam P, Manton M, Nagel TA, Sotirov M.   +3 more
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Development of Stereotypic Behaviors and Personality Traits of Captive Male Forest Musk Deer and Relationships with Musk Secretion. [PDF]

Vet Sci
Lu X, Sheng Y, Ye H, Yang Z, Meng X.
europepmc   +1 more source