El imperio portugués y las raíces profundas de Goa by Manuel Bastias Saavedra

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Novel Optimization Algorithms Usage to Model the Compressive Strength of Ultra-High-Performance Concrete in Machine Learning Technique: Support Vector Regression by Tianhua Zhou, Dorota Mozyrska

“…The comprehensive OBJ index was calculated for SVR-GOA 7.43 as an error that is 15.06 % higher than SVR-MPA, showing the capability of SVR-MPA to overcome errors rather than SVR-GOA.…”
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Effect of Titania Nano-additives on Fine and Ultrafine Carbonaceous Emissions during Flame Combustion of Diesel by Akshat Jain, Anirudha Ambekar, Thaseem Thajudeen

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Ocean warming, icebergs, and productivity in the Gulf of Alaska during the Last Interglacial by Maria Luisa Sánchez Montes, Maria Luisa Sánchez Montes, Erin L. McClymont, Hirofumi Asahi, Joseph Stoner, Christopher M. Moy, Sophie Gleghorn, Jerry M. Lloyd

“…This higher AC influence in the GOA contributed to sedimentary carbon storage and contributed to climate cooling despite the warm climate and higher iceberg discharge. …”
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The Optimal Machine Learning Model for the Precise Prediction of HighPerformance Concrete Strength Property by Yufeng Qian

“…The values of R2 for MPA-SVR and GOA-SVR are reported as 0.9939 and 0.9873, which implies that the MPA-SVR is more capable of implementing the compressive strength prediction.…”
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Estimation of Fresh and Hardened Properties of Self-Compacting Concrete by Optimized Radial Basis Function Methods by David Cadasse, Antonio Fontana

“…This study aims to specify RBFNN method key parameters using arithmetic optimization algorithm (AOA) and grasshopper optimization algorithm (GOA). The considered properties of SCC in the fresh phase are the L-box test, V-funnel test, slump flow, and in the hardened phase compressive strength. …”
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A Hybrid Particle Swarm Optimization-Tuning Algorithm for the Prediction of Nanoparticle Morphology from Microscopic Images by Abhishek Singh, Thaseem Thajudeen

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Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania by Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Ruganzu, Saibal Kar

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LeaData a novel reference data of leather images for automatic species identification by Anjli Varghese, Malathy Jawahar, A. Amalin Prince

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A Dataset on “Social Media and India’s Foreign Policy: The Case Study of X Diplomacy During the Covid-19 Pandemic” by Mukund V. Narvenkar

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Entrepreneurial Climate in India, China and the USA by Mahalakshmi S, Thiyagarajan S, Ranbir Sodhi, Naresh G

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Survival of Expiratory Aerosols in a Room: Study Using a Bi-compartment and Bi-component Indoor Air Model by Sreekanth Bathula, Srinivasan Anand, Thaseem Thajudeen, Yelia Shankaranarayana Mayya, Probal Chaudhury, Chaturvedi Shashank

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Socio-demographic profile and clinical co-morbidities of cannabis users attending a tertiary care hospital in India: A retrospective case record study by Soumya Jha, Rupa Jha, Wenona Fernandes, Ashish Srivastava

“…Aim: The present study was conducted to assess the socio-demographic profile and psychiatric co-morbidities of cannabis users attending a tertiary mental health establishment in Goa. Materials and Methods: A retrospective case record study was carried out among self-reported cannabis users attending services at a tertiary mental health establishment from June 2021 to June 2022. …”
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Trends and determinants of obesity among ever-married women aged 15–49 in India: insights from National Family Health Surveys (NFHS 1998–2021) by Aditya Singh, Sadanand Karun, Mahashweta Chakrabarty, Rakesh Chandra, Shivani Singh

“…Presently, two prominent regions in the country exhibit high obesity rates: the southern region, including Tamil Nadu (29%), Kerala (25%), Goa (25%), and Andhra Pradesh (23%), and the northwestern region, encompassing Delhi (33%), Punjab (31%), and Haryana (24%). …”
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