1,722,477 research outputs found
Business Applications of Cargo Drones in the EU
No full textDrones have become ubiquitous in various industries due to their versatility and efficiency in performing various tasks, from agricultural operations to search and rescue missions. This paper explores the use of drones, particularly cargo drones, in revolutionizing logistics and transportation systems. Medium-range cargo drones offer the potential to transform freight transportation by offering independence from traditional infrastructure and potentially reducing environmental impact. However, the integration of UAVs into existing logistical operations faces several challenges, including regulatory hurdles, technological limitations, and public perception issues. Drones can become a viable form of cargo transportation given that the regulatory challenges are addressed and can be efficiently integrated into the existing logistic operations. It would ultimately result in an efficient last-mile delivery option and will revolutionize the logistics industry
Online_Appendix_WES866643 – Supplemental material for It’s Not All about the Economy Stupid! Immigration and Subjective Well-Being in England
No full textSupplemental material, Online_Appendix_WES866643 for It’s Not All about the Economy Stupid! Immigration and Subjective Well-Being in England by Peter Howley, Muhammad Waqas, Mirko Moro, Liam Delaney and Tony Heron in Work, Employment and Society</p
sj-tiff-1-tdo-10.1177_00494755221127355 - Supplemental material for Respiratory sequelae of dengue fever
No full textSupplemental material, sj-tiff-1-tdo-10.1177_00494755221127355 for Respiratory sequelae of dengue fever by Asad Mehmood, Muhammad Waqas Afzal, Muhammad Ahmad, Mahreen Mufti, Jahanzeb Malik and Syed Muhammad Jawad Zaidi in Tropical Doctor</p
sj-docx-2-tdo-10.1177_00494755221127355 - Supplemental material for Respiratory sequelae of dengue fever
No full textSupplemental material, sj-docx-2-tdo-10.1177_00494755221127355 for Respiratory sequelae of dengue fever by Asad Mehmood, Muhammad Waqas Afzal, Muhammad Ahmad, Mahreen Mufti, Jahanzeb Malik and Syed Muhammad Jawad Zaidi in Tropical Doctor</p
sj-pdf-3-tdo-10.1177_00494755221127355 - Supplemental material for Respiratory sequelae of dengue fever
No full textSupplemental material, sj-pdf-3-tdo-10.1177_00494755221127355 for Respiratory sequelae of dengue fever by Asad Mehmood, Muhammad Waqas Afzal, Muhammad Ahmad, Mahreen Mufti, Jahanzeb Malik and Syed Muhammad Jawad Zaidi in Tropical Doctor</p
Decoding Informal Settlements in Core Urban Areas of Karachi: Leveraging Machine Learning Algorithms for Classification and Analysis
No full textThe proliferation of informal settlements in developing countries marks a significant byproduct of unchecked urbanization and economic expansion, posing substantial sustainability challenges within urban systems. This complexity stresses the urgency of dissecting the nature and forces associated with such settlements to forge effective intervention strategies. Focused on Karachi’s primary urban sectors, this research enlightens the dynamics of informal settlements and their contributing factors. By utilizing published public datasets, the study evaluates the efficacy of five machine learning algorithms—K Nearest Neighbors (KNN), Neural Networks (NN), Random Forest (RF), Random Trees (RT), and XGBoost Tree—in predictive modelling of the spatial patterns and associated elements of these settlements. Random Forest distinguished itself among the assessed algorithms by delivering unparalleled precision across critical performance metrics, reaching an F1-Score of 0.80. This investigation further illuminates the critical role of several determinants, such as proximity to the central business district (CBD), railway lines, waterways, commercial zones, health facilities, educational institutions, and poverty markers, in accumulating informal settlements. The insights from this study are instrumental in predictive modeling for informed urban planning and policymaking, aiming to develop a systematic resolution of the challenges posed by informal settlements in Karachi
Social protection expenditures, poverty, inequality, and economic growth in Pakistan
No full textThis paper study the relationship between social protection expenditures, poverty, income inequality and economic growth in a marginalized country like Pakistan by using annual data available from 1983 to 2015. Three econometric time series models have been developed; the first model explored the impact of social protection expenditures on poverty; second model investigated the impact of social protection expenditures on income inequality and a third model shows the impact of poverty, income inequality and social protection expenditures on economic growth. Results of cointegration techniques suggested to increase social protection expenditures reduces poverty and inequality in case of Pakistan. Furthermore, increase the expenditures on social protection programs have positive impact on economy and boost economic growth
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
Comparing Inception V3, VGG 16, VGG 19, CNN, and ResNet 50: A Case Study on Early Detection of a Rice Disease
Full text linkRice production has faced numerous challenges in recent years, and traditional methods are still being used to detect rice diseases. This research project developed an automated rice blast disease diagnosis technique based on deep learning, image processing, and transfer learning with pre-trained models such as Inception V3, VGG16, VGG19, and ResNet50. The public dataset consists of 2000 images; about 1200 images belong to the leaf blast class, and 800 to the healthy leaf class. The modified connection-skipping ResNet 50 had the highest accuracy of 99.75% with a loss rate of 0.33, while the other models achieved 98.16%, 98.47%, and 98.56%, respectively. Furthermore, ResNet 50 achieved a validation accuracy of 99.69%, precision of 99.50%, F1-score of 99.70, and AUC of 99.83%. In conclusion, the study demonstrated a superior performance and disease prediction using the Gradio web application
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