COVID-19 is a respiratory illness caused by the SARS-CoV-2 virus, first identified in 2019. The primary mode of transmission is through respiratory droplets when an infected person coughs or sneezes. Symptoms can rang...COVID-19 is a respiratory illness caused by the SARS-CoV-2 virus, first identified in 2019. The primary mode of transmission is through respiratory droplets when an infected person coughs or sneezes. Symptoms can range from mild to severe, and timely diagnosis is crucial for effective treatment. Chest X-Ray imaging is one diagnostic tool used for COVID-19, and a Convolutional Neural Network (CNN) is a popular technique for image classification. In this study, we proposed a CNN-based approach for detecting COVID-19 in chest X-Ray images. The model was trained on a dataset containing both COVID-19 positive and negative cases and evaluated on a separate test dataset to measure its accuracy. Our results indicated that the CNN approach could accurately detect COVID-19 in chest X-Ray images, with an overall accuracy of 97%. This approach could potentially serve as an early diagnostic tool to reduce the spread of the virus.展开更多
This paper presents a performance study of silicon-based multi-junction (MJ) solar cell which is produced by Spectrolab is the most efficient solar cell in the world, with a record efficiency of over 40%. The I-V char...This paper presents a performance study of silicon-based multi-junction (MJ) solar cell which is produced by Spectrolab is the most efficient solar cell in the world, with a record efficiency of over 40%. The I-V characteristics of solar cells were investigated for different environmental conditions (both at indoor and outdoor). Photovoltaic (PV) parameters like short circuit current (ISC), open circuit voltage (VOC), fill factor (FF) and efficiency (?) were evaluated for the fabricated cell. The fabricated cell provides I-V characteristics curve which shows that the maximum efficiency of the cell is obtained when the cell temperature is lower. It was also observed that, efficiencies of the cells are about 17% to 24% at indoor and 7% to 20% at outdoor and fill factors are 0.40 to 0.71. From the result, it can also be found that fill factor is directly affected by the values of the cells series and shunt resistance.展开更多
The Internet provides a large number of tools and resources, such as social media sites, online newsgroups, blogs, electronic forums, virtual communities, and online travel sites, for consumers to express their views ...The Internet provides a large number of tools and resources, such as social media sites, online newsgroups, blogs, electronic forums, virtual communities, and online travel sites, for consumers to express their views or opinions regarding various issues. These opinions can help organizations like tourism to improve their products and services for their consumers. Opinion mining refers to a process of identifying emotions by applying Natural Language Processing (NLP) techniques to a pool of texts. This paper mainly focuses on mining public opinion from the hotel reviews domain. To do so, we proposed a novel technique called the Attention-Based Long Short Term Memory (Attention-LSTM) Network using a transfer learning approach. We empirically analyzed several machine learning and deep learning methods and observed our proposed technique provided an adequate performance for mining public opinion in the hotel reviews domain.展开更多
文摘COVID-19 is a respiratory illness caused by the SARS-CoV-2 virus, first identified in 2019. The primary mode of transmission is through respiratory droplets when an infected person coughs or sneezes. Symptoms can range from mild to severe, and timely diagnosis is crucial for effective treatment. Chest X-Ray imaging is one diagnostic tool used for COVID-19, and a Convolutional Neural Network (CNN) is a popular technique for image classification. In this study, we proposed a CNN-based approach for detecting COVID-19 in chest X-Ray images. The model was trained on a dataset containing both COVID-19 positive and negative cases and evaluated on a separate test dataset to measure its accuracy. Our results indicated that the CNN approach could accurately detect COVID-19 in chest X-Ray images, with an overall accuracy of 97%. This approach could potentially serve as an early diagnostic tool to reduce the spread of the virus.
文摘This paper presents a performance study of silicon-based multi-junction (MJ) solar cell which is produced by Spectrolab is the most efficient solar cell in the world, with a record efficiency of over 40%. The I-V characteristics of solar cells were investigated for different environmental conditions (both at indoor and outdoor). Photovoltaic (PV) parameters like short circuit current (ISC), open circuit voltage (VOC), fill factor (FF) and efficiency (?) were evaluated for the fabricated cell. The fabricated cell provides I-V characteristics curve which shows that the maximum efficiency of the cell is obtained when the cell temperature is lower. It was also observed that, efficiencies of the cells are about 17% to 24% at indoor and 7% to 20% at outdoor and fill factors are 0.40 to 0.71. From the result, it can also be found that fill factor is directly affected by the values of the cells series and shunt resistance.
文摘The Internet provides a large number of tools and resources, such as social media sites, online newsgroups, blogs, electronic forums, virtual communities, and online travel sites, for consumers to express their views or opinions regarding various issues. These opinions can help organizations like tourism to improve their products and services for their consumers. Opinion mining refers to a process of identifying emotions by applying Natural Language Processing (NLP) techniques to a pool of texts. This paper mainly focuses on mining public opinion from the hotel reviews domain. To do so, we proposed a novel technique called the Attention-Based Long Short Term Memory (Attention-LSTM) Network using a transfer learning approach. We empirically analyzed several machine learning and deep learning methods and observed our proposed technique provided an adequate performance for mining public opinion in the hotel reviews domain.