1,720,972 research outputs found
Dimitrov (Dimitre P.), Voyage de saint Alexandre de Rome à travers la Thrace
No full textGrumel Venance. Dimitrov (Dimitre P.), Voyage de saint Alexandre de Rome à travers la Thrace . In: Échos d'Orient, tome 35, n°181, 1936. pp. 125-126
Dimitrov (Dimitre P.), Voyage de saint Alexandre de Rome à travers la Thrace
No full textGrumel Venance. Dimitrov (Dimitre P.), Voyage de saint Alexandre de Rome à travers la Thrace . In: Échos d'Orient, tome 35, n°181, 1936. pp. 125-126
22. Dimitrov [Dimitre P.) Le voyage de saint Alexandre de Rome à travers la Thrace (extr. du Bull. de l'Inst. archéol. bulgare, VIII, 1934, p. 116-161.)
No full textLemerle Paul. 22. Dimitrov [Dimitre P.) Le voyage de saint Alexandre de Rome à travers la Thrace (extr. du Bull. de l'Inst. archéol. bulgare, VIII, 1934, p. 116-161.). In: Revue des Études Grecques, tome 49, fascicule 229, Janvier-mars 1936. p. 113
51. Dimitrov (Dimitre P.). Des stratégies et des territoires municipaux de quelques villes de la Thrace romaine (extrait de l'Annuaire du Musée National Bulgare, VI, 1932-1934, p. 123-146, en bulgare, avec résumé français et une carte)
No full textLemerle Paul. 51. Dimitrov (Dimitre P.). Des stratégies et des territoires municipaux de quelques villes de la Thrace romaine (extrait de l'Annuaire du Musée National Bulgare, VI, 1932-1934, p. 123-146, en bulgare, avec résumé français et une carte). In: Revue des Études Grecques, tome 50, fascicule 236-237, Juillet-septembre 1937. p. 398
Internet and Computers for Agriculture
No full textGiven the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, robots, and smart machinery for precision agriculture. The expansion of cloud technologies, artificial intelligence (AI), machine learning (ML), deep learning (DL), and big data collection are setting the stage for Agriculture 5.0. Agriculture science and natural sciences are further promoting this trend with the development of leading-edge scientific models and platforms, including stochastic, process-based, and data-driven machine learning modeling. This Special Issue covers the most recent and up-to-date progress in all aspects of internet and computer software applications in agriculture, focusing on the development of web applications and mobile apps, smart IoT devices and platforms, AI, ML and DL solutions in precision agriculture for detection, recognition, classification, monitoring, cultivation, harvesting, and marketing; development of cloud technologies for smart agriculture; computer and machine vision methods and applications for drones and smart machinery, and sensors for field operations; diagnostics and data collection; big data science; scientific process-based and stochastic modeling; and machine learning modeling for agriculture, agroecosystems and natural ecosystems. The research in this Special Issue will contribute to the promotion of modern agriculture practices in the current climate and in the future
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Software project estimation: intelligent forecasting, project control, and client relationship management
No full textComputational, AI and IT Solutions Helping Agriculture
No full text376 p.This Special Issue was a natural continuation of our previous Special Issue, titled “Internet and Computers for Agriculture”; this one extended further, covering recent and current progress in the application of computational solutions, artificial intelligence (AI), and information technologies (IT) in modern agriculture. Currently, rapid changes are taking place at a planetary scale, including human population growth and global climatic and ecological changes, resulting in a call for immediate sustainable and secure smart solutions for food production, water supply, greenhouse (GHG) gas emissions, and environmental health.
This Special Issue provided a stage for the innovative research of scientists and entrepreneurs involved in the development and application of various software products, and digital solutions for agriculture, agroecosystems, and natural ecosystems with applications in agriculture, to be presented. The submission of original articles and reviews involved mobile apps, web applications, internet platforms, Internet of Things (IoT) devices, cloud technologies, AI and machine learning (ML) methods, and applications for precision agriculture, monitoring, cultivation, harvesting, marketing, management, decision making, weather forecasting, optimization, natural language processing, computer/machine vision, drones, real-time detection systems, sensors for field operations, smart agriculture machinery, diagnostics, species and disease recognition, big data collection, scientific-process-based mathematical modeling, and machine learning modeling, which can contribute to modern agriculture now and in the future
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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