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Eugene Levner, Vladimir Kats, Pengyu Yan and Ada Che
High-throughput screening systems are robotic cells that automatically scan and analyze thousands of biochemical samples and reagents in real time. The problem under consideration is to find an optimal cyclic schedule of robot moves that ensures maximum ...
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Parisa Sarzaeim and Francisco Muñoz-Arriola
Throughout history, the pursuit of diagnosing and predicting crop yields has evidenced genetics, environment, and management practices intertwined in achieving food security. However, the sensitivity of crop phenotypes and genetic responses to climate st...
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António Cardoso, Manuel Sousa Pereira, José Carlos Sá, Daryl John Powell, Silvia Faria and Miguel Magalhães
This study aimed to understand the impact of digital culture on companies? knowledge and constant commitment to digital transformation, as well as its impact on organizations as a whole. Secondly, it aimed to explore the impact of digital technology adop...
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Angel James Medina Medina, Rolando Salas López, Jhon Antony Zabaleta Santisteban, Katerin Meliza Tuesta Trauco, Efrain Yury Turpo Cayo, Nixon Huaman Haro, Manuel Oliva Cruz and Darwin Gómez Fernández
One of the world?s major agricultural crops is rice (Oryza sativa), a staple food for more than half of the global population. In this research, synthetic aperture radar (SAR) and optical images are used to analyze the monthly dynamics of this crop in th...
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Svetlana Pushkar
Over the past five years, Leadership in Energy and Environmental Design Commercial Interior version 4 (LEED-CI v4)-certified office projects have been intensively studied in the USA and China, but they have not yet been studied in the Mediterranean regio...
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Ruth Cordova-Cardenas, Luis Emmi and Pablo Gonzalez-de-Santos
This study presents the development of a route planner, called Mission Planner, for an agricultural weeding robot that generates efficient and safe routes both in the field and on the farm using a graph-based approach. This planner optimizes the robot?s ...
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Songtao Huang, Jun Shen, Qingquan Lv, Qingguo Zhou and Binbin Yong
Electricity load forecasting has seen increasing importance recently, especially with the effectiveness of deep learning methods growing. Improving the accuracy of electricity load forecasting is vital for public resources management departments. Traditi...
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Abdullah As Sami, Saadman Sakib, Kaushik Deb and Iqbal H. Sarker
Deep learning has enabled a straightforward, convenient method of road pavement infrastructure management that facilitates a secure, cost-effective, and efficient transportation network. Manual road pavement inspection is time-consuming and dangerous, ma...
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Priyanka Lal, Biswaranjan Behera, Malu Ram Yadav, Eshita Sharma, Muhammad Ahsan Altaf, Abhijit Dey, Awadhesh Kumar, Rahul Kumar Tiwari, Milan Kumar Lal and Ravinder Kumar
The sustainable management of groundwater resources is required to avoid a water crisis. The current study focused on a bibliometric analysis of groundwater access and management to assess research progress. The study was based on data from Dimensions.ai...
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Zhanna Mingaleva, Olga Chernova and Inna V. Mitrofanova
The growing negative anthropogenic impact on the environment causes scientific interest in the problems of water management. The increasing number of publications in this scientific field requires their intellectual systematization. The purpose of this s...
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