7,830 research outputs found
Effect of 2023 European Heatwave on Photovoltaic Energy Generation: ACase Study of Central and Southern Italy
No full textHeatwaves can increase solar energy output due to increased irradiance levels. However, they can also result in decreased efficiency and probable long-term damage to photovoltaic panels. This research work investigates the impact of 2023 European heatwave on the energy generation of photovoltaic installations in central and southern Italy. Data collected from 98 inverters associated with three different plants spanning from 01-01-2017 to 20-08-2023 reveals distinctive performance trends among three plants during the summer of 2023 compared to previous years. Plants A and B experienced decreased energy generation, attributed to the extreme heatwave. In contrast, Plant C maintained consistent performance, benefiting from its elevated position and enhanced air circulation due to its geological location at Adriatic coast. Performance metrics based on IEC-61724 standards further support these findings. This study highlights the importance of strategic placement and design considerations for photovoltaic installations to mitigate the adverse effects of heatwaves
Deep learning augmented medium-term photovoltaic energy forecasting: A coupled approach using PVGIS and numerical weather model data
No full textIntegrating PV energy resources into energy grids is crucial for PV energy organizations, making medium- and short-term PV forecasts important. PV organizations look forward to modern tolls for efficient systems for the most beneficial operations for PV systems. This research proposes, applies, and assesses a modern machine learning and deep learning based short-term PV energy forecasting system. Numerical weather model-based data is utilized for real-time forecasting at an hourly scale for the next four days, an additional analysis is performed by leveraging the PVGIS data in addition to NWM data. The proposed methodology is developed and applied to more than 200 PV installations, both BIPVs and BAPVs. The system was able to produce effective PV energy forecasts with high accuracy and efficiency analysis of 3 different PV installations ranging 17 kWp, 91 kWp, and 386kWp are reported in this paper. The research concluded with the feasibility of the proposed systems and findings further support the efficacy of the proposed framework, which can be adopted by organizations seeking to optimize PV system performance and reliability
Pioneers of Library Movement in Pakistan
No full textThe paper aims to describe in brief the contribution of seven leaders of Pakistan librarianship, viz. K.B. Khalifa M. Asadullah, Prof. Dr. Abdul Moid, Dr. Abdus Subuh Qasimi, Muhammad Shafi, Fazal Elahi, Khawaja Nur Elahi and S. V. Hussain. The early library developments are given for better understanding of the role of these leaders
IDD-Net: A Deep Learning Approach for Early Detection of Dental Diseases Using X-Ray Imaging
No full textEarly detection of dental diseases such as cavities, periodontitis, and periapical infections is crucial for effective management and prevention, as these conditions can lead to severe complications if left untreated. However, traditional diagnostic methods are often manual, time consuming, and heavily reliant on expert judgment, which can introduce variability and delay in diagnosis. To address these critical challenges, we propose IDD-Net (Identification of Dental Disease Network), a novel deep learning-based model designed for the automatic detection of dental diseases using panoramic X-ray images. The proposed framework leverages Convolutional Neural Networks (CNN) to enhance the accuracy and efficiency of dental condition classification, thereby significantly improving the diagnostic process. In our comprehensive evaluation, IDD-Net’s performance is rigorously compared to four state-of-the-art deep learning models: AlexNet, InceptionResNet-V2, Xception, and MobileNet-V2. To tackle the issue of class imbalance, we employ the Synthetic Minority Over-sampling Technique with Tomek links (SMOTE Tomek), ensuring a balanced sample distribution that enhances model training. Experimental results showcase IDDNet’s exceptional performance, achieving a 99.97% AUC, 98.99% accuracy, 98.24% recall, 98.99% precision, and a 98.97% F1-score, thus outperforming benchmark classifiers. These findings underscore the transformative potential of IDD-Net as a reliable and efficient tool for assisting dental and medical professionals in the early detection of dental diseases. By streamlining the diagnostic process, IDD-Net not only improves patient outcomes but also has the potential to reshape standard practices in dental care, paving the way for more proactive and preventive
approaches in oral health management
Exploiting building information modeling and machine learning for optimizing rooftop photovoltaic systems
No full textThe primary objective of this study is to develop a strategy to maximize the potential of Building Applied Photovoltaics (BAPV) by providing researchers and experts in the field with the appropriate tools. By utilizing operational data from an operational roof -mounted BAPV system and incorporating Building Information Modeling (BIM) to improve its design and smooth integration into built settings, the study offers novel insights. A three-phase research methodology is applied, encompassing data collection and performance assessment, BIM modeling, and machine learning algorithms for energy forecasting. The case study involves a 160 kWp photovoltaic system in Abruzzo, Italy, over a three-year period. The research employs different performance metrics recommended by IEC 61724 to compare experimental and theoretical data. BIM simulations are exploited as they are crucial for identifying the correct design process. Furthermore, four cutting -edge machine learning algorithms are used to forecast daily energy production. The random forest is identified as the best model for forecasting and the effect of tuning of hyperparameters on the efficiency of all models is also reported. The research adds to the larger conversation on sustainable energy management and solutions by providing researchers involved in the design and improvement of BAPV systems with a solid foundation for future developments
Investigating the effects of hyperparameter sensitivity on machine learning algorithms for PV forecasting
No full textMachine Learning (ML) models have been introduced in the past, and users have debated whether to tune the hyperparameters of the models. This study investigates the effects of tuning the hyperparameters of the ML models and summarizes the models that are most sensitive to hyperparameter tuning. This study leveraged the historic energy production
data of two already operational PV plants. Four state-of-the-art ML models, namely Decision Trees (DT), Random Forest (RF), K-Nearest Neighbors (KNN), and Support Vector Regression (SVR) were investigated. All the ML models were trained with the same training features (meteorological estimates) obtained from the National Aeronautics and Space
Administration’s (NASA) Power project, with the daily PV energy production selected as the target variable. Models were developed and executed with default and tuned hyperparameters using an 85-15% traintest split. The results revealed that all the models showed improved performance with the tuned hyperparameters. However, the DT and SVR
models depicted significantly improved RMSE after tuning of the hyperparameters. The RMSE of DT improved from 111 kWh/d to 75 kWh/d for one plant and from 442 kWh/d to 270 kWh/d for the second plant after tuning the hyperparameters. Similarly, the RMSE of SVR improved from 59 kWh/d to 50 kWh/d in the first case, and in the second case, the improvement of RMSE from 536 kWh/d to 294 kWh/d was observed. The efficiency of the RF and KNN models also improved to some extent after tuning, but the RMSE closely agreed with the default hyperparameters in one case study, making the RF and KNN less prone to hyperparameter sensitivity. This study concluded with the finding that it is
necessary to tune the hyperparameters of the DT and SVR models, specifically for energy forecasting. Moreover, the results of this study also highlight the significance of meteorological estimates from NASA’s Power project, as models successfully discerned the complex energy forecast patterns. The dataset is deemed suitable for energy forecasting for areas with sparse ground-based observatories and may serve as a baseline dataset
for training the ML models
The Complete Muhammad Ali
No full textIncluding material and photographs not included in most of the 100 other books about the champion, Ishmael Reed's The Complete Muhammad Ali is more than just a biography-it is a fascinating portrait of the 20th century and the beginning of the 21st. An honest, balanced portrayal of Ali, the book includes voices that have been omitted from other books. It charts Ali's evolution from Black Nationalism to a universalism, but does not discount the Nation of Islam and Black Nationalism's important influence on his intellectual development. Filipino American author Emil Guillermo speaks about how "The Thrilla' In Manila" brought the Philippines into the 20th century. Fans of Muhammad Ali, boxing fans, and those interested in modern African American history and the Nation of Islam will be fascinated by this biography by an accomplished American author.Intro -- DEDICATION -- INTRODUCTION -- The Curious History of an Icon -- CHAPTER 1 -- CHAPTER 2 -- CHAPTER 3 -- CHAPTER 4 -- CHAPTER 5 -- CHAPTER 6 -- CHAPTER 7 -- Did the Secret Government Fear a U.S. Muslim/Overseas Muslim Alliance? -- CHAPTER 8 -- CHAPTER 9 -- The Break Between the Prophet and his Disciple -- CHAPTER 10 -- CHAPTER 11 -- CHAPTER 12 -- The GOAT (Greatest Of All Time): Ali or Louis? -- CHAPTER 13 -- The Nation of Islam, the Mob, Showdowns in Canada and Sonny Liston -- CHAPTER 14 -- CHAPTER 15 -- The Taunts: Marketing or Racism? -- CHAPTER 16 -- CHAPTER 17 -- CHAPTER 18 -- CHAPTER 19 -- Boxing and the Brain -- CHAPTER 20 -- Ali's Feet -- CHAPTER 21 -- Mr. Dick -- CHAPTER 22 -- CHAPTER 23 -- The Opening Ceremonies, November 2005 -- CHAPTER 24 -- December 2005, Las Vegas -- CHAPTER 25 -- CHAPTER 26 -- June 16, 2004 -- CHAPTER 27 -- CHAPTER 28 -- CHAPTER 29 -- Aix-en-Provence -- CHAPTER 30 -- Ali as a Black Nationalist -- San Francisco, January 2004 Black Liberation Book Fair -- CHAPTER 31 -- January 31, 2004 -- CHAPTER 32 -- October 2005, Chicago -- CHAPTER 33 -- Why Ali remained with Elijah instead of following Malcolm -- CHAPTER 34 -- CHAPTER 35 -- February 4, 2006, Oakland, California -- CHAPTER 36 -- Like Zeus Descending from Mount Olympus -- CHAPTER 37 -- CHAPTER 38 -- Tuesday, February 28, 2006, New York -- CHAPTER 39 -- Bigger Than Boxing -- CHAPTER 40 -- Tribes Gallery, New York, April 2006 -- CHAPTER 41 -- June 2006, Louisville, Kentucky -- CHAPTER 42 -- CHAPTER 43 -- CHAPTER 45 -- Bad Company -- CHAPTER 46 -- Coxson, A Very Charming Rogue -- CHAPTER 47 -- Ali and the largest embezzlement scheme in Wells Fargo history -- CHAPTER 48 -- CHAPTER 49 -- "Lonnie is a stabilizing force."-Harry Belafonte -- October 29, 2006 -- CHAPTER 50 -- Abdul Rahman -- CHAPTER 51 -- CHAPTER 52 -- CHAPTER 53How Will Ali Be Remembered? New York, January 8, 2005 -- CHAPTER 54 -- CONCLUSION -- AFTERWORD -- Boxers' Rights? -- BIBLIOGRAPHY -- MUHAMMAD ALI -- ISLAM AND NATION OF ISLAM -- BOXING -- RELATED SUBJECTS -- ALSO AVAILABLE FROM BARAKA BOOKSIncluding material and photographs not included in most of the 100 other books about the champion, Ishmael Reed's The Complete Muhammad Ali is more than just a biography-it is a fascinating portrait of the 20th century and the beginning of the 21st. An honest, balanced portrayal of Ali, the book includes voices that have been omitted from other books. It charts Ali's evolution from Black Nationalism to a universalism, but does not discount the Nation of Islam and Black Nationalism's important influence on his intellectual development. Filipino American author Emil Guillermo speaks about how "The Thrilla' In Manila" brought the Philippines into the 20th century. Fans of Muhammad Ali, boxing fans, and those interested in modern African American history and the Nation of Islam will be fascinated by this biography by an accomplished American author.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
AI-Powered Advanced Technologies for a Sustainable Built Environment: A Systematic Review on Emerging Challenges
No full textThe integration of digital technologies with Artificial Intelligence could serve as a strategic approach to achieving the goals set by the European Union, mainly concerning sustainability, carbon emission reduction, and digitalization in the construction sector. In this regard, this paper aims to examine the major trends in the application of AI integrated with digital technologies to boost the environmental sustainability of the built environment throughout
its life cycle. A systematic literature review was conducted, in accordance with the PRISMA
guidelines, inspecting the Scopus database from 2015 to 2025. After having applied specific
exclusion and inclusion criteria, 102 studies have been examined to identify key trends and
transformative innovations enhancing sustainable approaches for the built environment.
The results have been systematized based on the phases of the building life cycle which
are impacted most by AI-powered digital technologies, and on sustainability areas that
are attracting the greatest attention. The main research gaps are identified in the limited
exploration of renovation and end-of-life phases of the life cycle, in the lack of technologies interoperability, in data complexity and quality issues, in a lack of cost-effective solutions, and in limited regulation and standardization
Nilai Pendidikan Karakter Dalam Kitab Washaya Al-Aba’ Li Al-Abna Karya Muhammad Syakir Al-Iskandari
No full textThis research aims to identify the character education values contained in the book Washaya al-Aba' li al-Abna Muhammad Syakir and the role of his opinion on the richness of character education values. It is hoped that this research can be used as a source or reference in efforts to develop education and character as a whole, especially character education according to Islam. It can also be used as a reference to facilitate understanding of character education and as a reference for relevant research in the future. This research method is qualitative and uses a narrative biography method. By using a descriptive presentation approach, this autobiography of the character's thoughts combines the ideas of character education from his work. Library research, or library research, is a research method that involves books, articles, notes and electronic media. with primary sources from the book Washaya al Aba Li al-Abna and secondary sources from study books. In this research, data collection was carried out through the documentation method, which includes searching for data through variables such as notes, books, and articles, among others. The author used a content analysis study to analyze the data; they analyzed the data textually based on the contents of the book. The research results show that the book Washaya al Aba Li al-Abna contains 17 educational character values, divided into two categories: 10 character values fall into the moral category and 7 character values fall into the performance category. Faith and piety, love and obedience to the Messenger of Allah, respect for parents, respect for teachers, truth or honesty, nobility or self-respect, patience, sincerity and a simple life are moral characters. Performance characteristics also include trust, discipline, hard work, never giving up, love of the country, interest in reading or literacy knowledge, and concern for the environment
Biography of Muhammad Baba
No full textCe manuscrit est une biographie du savant islamique Muhammad Baba du village de Doumga, au Sénégal. Elle fait partie d'une série de biographies que l'auteur a écrites sur les dirigeants islamiques en Afrique de l'Ouest.This manuscript is a biography of Islamic scholarMuhammad Baba of the village of Doumga, in Senegal. It is one of a series of biographies that the author has written about Islamic leaders in West Africa
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