2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Herb leaves plays a significant role to cure various human disease throughout the world. Furtherm... more Herb leaves plays a significant role to cure various human disease throughout the world. Furthermore, it has had a great impact on clinical science. People have less information about herbs accordingly it turns into an issue to recognize them. Besides, utilizing harmful plants as a drug would genuinely expand the danger of life. As a result, it becomes a significant issue to recognize the useful herb leaves. Very few works have been done to localize and classify the herb leaves in real-time for helping people. Gradually the utilization of artificial intelligence makes our life simpler and user-friendly. Complex problems can be effectively solved with the help of artificial intelligence. In this paper, we will classify the five types of herbs respectively Mehndi, Betel, Mint, Basil, and Aloe Vera. We have proposed a neural network model using YOLO which will use for the classification of the herb leaves. In the future, we will carry out the prepared model into a versatile application that will assist the client with finding out about homegrown cures. The Classification accuracy of our model is about 95% which is promising enough compared to other relevant works.
Bulletin of Electrical Engineering and Informatics
Today the world has already acknowledged as a global village by the inter-net which has technolog... more Today the world has already acknowledged as a global village by the inter-net which has technologically evolved into a significant performance instrument for individuals, businesses, and countries seeking to achieve betterment. This study is based on data mining techniques to predict the satisfaction level of internet users from the context of Bangladesh. After conducting a public survey with 18 questions, we were able to acquire 451 responses from participants. Data for user satisfaction was associated with end-user characteristics including certain getting high speed, internet packages, cable type of Wi-Fi connection with targeting various age groups and occupations. The research's most key conceptual breakthrough was the reliability of magnitude predictions of user satisfaction level based on their experience with internet use. The empirical findings indicate that people in Bangladesh have high expectations in existing internet technology, and they are very dissatisfied with ...
<jats:p>Cucumber is grown, as a cash crop besides it is one of the main and popular vegetab... more <jats:p>Cucumber is grown, as a cash crop besides it is one of the main and popular vegetables in Bangladesh. As Bangladesh's economy is largely dependent on the agricultural sector, cucumber farming could make economic and productivity growth more sustainable. But many diseases diminish the situation of cucumber. Early detection of disease can help to stop disease from spreading to other healthy plants and also accurate identifying the disease will help to reduce crop losses through specific treatments. In this paper, we have presented two approaches namely traditional machine learning (ML) and CNN-based transfer learning. Then we have compared the performance of the applied techniques to find out the most appropriate techniques for recognizing cucumber diseases. In our ML approach, the system involves five steps. After collecting the image, pre-processing is done by resizing, filtering, and contrast-enhancing. Then we have compared various ML algorithms using k-means based image segmentation after extracted 10 relevant features. Random forest gives the best accuracy with 89.93% in the traditional ML approach. We also studied and applied CNN-based transfer learning to investigate the further improvement of recognition performance. Lastly, a comparison among various transfer learning models such as InceptionV3, MobileNetV2, and VGG16 has been performed. Between these two approaches, MobileNetV2 achieves the highest accuracy with 93.23%.</jats:p>
Proceedings of International Joint Conference on Computational Intelligence, 2020
Bangladesh extensively depends on agriculture in terms of economy as well as food security for it... more Bangladesh extensively depends on agriculture in terms of economy as well as food security for its huge population. For this reason, it is very important to efficiently grow a plant and enhance its yield. Quantity and quality of fruits can degrade due to various diseases that are very much crucial issues. A little research has been conducted for recognition of jackfruit disease to help distant farmers, utmost of who need proper cultivation support. Recognition of jackfruit diseases poses two challenging problems, i.e., detection of disease and classification of disease. In this research, we perform an in-depth investigation of an online automated agro-medical expert system that processes an image captured with handheld devices or mobile phones and recognizes the diseases for helping the distant farmers. Adequate experiment has been performed to prove the efficiency of our proposed system. k-means clustering algorithm is used to extract discriminatory features from segmented out images of diseased jackfruits. After that, we classify the diseases using support vector machines (SVMs). Our classification accuracy is nearly about 90%, which seems to be reliable as well as ensuring by comparing performances with the relevant works.
Bulletin of Electrical Engineering and Informatics, 2022
Proper navigation and detailed perception in familiar or unfamiliar environments are the main rol... more Proper navigation and detailed perception in familiar or unfamiliar environments are the main roles for human life. Eyesight sense helps humans to abstain from all kinds of dangers and navigate to indoor and outdoor environments. These are challenging activities for blind people in all environments. Many assistive tools have been developed by the blessing of technology like braille compasses and white canes that help them to navigate around in the environment. A vision and cloud-based navigation system for the visually impaired or blind person was developed. Our aim was not only to navigate them but also to perceive the environment in as much detail as a normal person. The proposed system includes ultrasonic sensors detecting obstacles, stereo camera to capture videos to perceive the environment using deep learning algorithms. Face recognition approach identified known faces in front of him. Blind people interacted with the whole system through a speech recognition module and all th...
Pigeon farming is a very familiar business as well as a hobby in Bangladesh. It has a great contr... more Pigeon farming is a very familiar business as well as a hobby in Bangladesh. It has a great contribution to our national economy. Sometimes it’s a very tough job for us to recognize pigeon breed correctly because some breed of pigeons looks similar in human eyes though they are pretty much different. Image classification plays a vital role to identify the Pigeon breed names. Automatic recognition of objects through the computer vision approach is becoming more popular day by day. So our aim is to classify the pigeon breed names. Very few works have been done for pigeon classification. We have employed a deep learning model that trained on the large data set. Our designed system can be scaled to small systems such as handheld devices and large systems such as computer vision models on the cloud. Therefore, both the users like pigeon buyers and the researchers managing the state-of-the-art research works can use this system to accomplish their purposes. We have applied different novel...
2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020
RealSense technology is such a technology which is implemented for machines and device for measur... more RealSense technology is such a technology which is implemented for machines and device for measuring the capabilities of those apparatus. The capabilities are related to the perceptions of those machines and devices. This technology mainly learns a machine to understand the world with cogitation. RealSense technology introduces cameras to explore the environment with ins and out as it is parallel working with high definition cameras. This technology is used in many categories. Object detection, facial expression detection, shape measurement, image processing, and so on. Among all of the types, RealSense technology is used in huge amount for object detection. In this category real sense mainly focus on the object which is vitally important for understanding the full scene, and understanding the other aspect of the scene with which the object can be classify for better understanding. This paper mainly provides an overview of RealSense technique to the modern technology with its 3D vis...
2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Herb leaves plays a significant role to cure various human disease throughout the world. Furtherm... more Herb leaves plays a significant role to cure various human disease throughout the world. Furthermore, it has had a great impact on clinical science. People have less information about herbs accordingly it turns into an issue to recognize them. Besides, utilizing harmful plants as a drug would genuinely expand the danger of life. As a result, it becomes a significant issue to recognize the useful herb leaves. Very few works have been done to localize and classify the herb leaves in real-time for helping people. Gradually the utilization of artificial intelligence makes our life simpler and user-friendly. Complex problems can be effectively solved with the help of artificial intelligence. In this paper, we will classify the five types of herbs respectively Mehndi, Betel, Mint, Basil, and Aloe Vera. We have proposed a neural network model using YOLO which will use for the classification of the herb leaves. In the future, we will carry out the prepared model into a versatile application that will assist the client with finding out about homegrown cures. The Classification accuracy of our model is about 95% which is promising enough compared to other relevant works.
2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Natural Language Processing (NLP) is one of the greatest familiar field of Artificial Intelligenc... more Natural Language Processing (NLP) is one of the greatest familiar field of Artificial Intelligence. Bangla text classification is become a significant problem due to the availability of textual documents. So, it's high time to solve this problem for better information organization and knowledge management. This study identifies the type of Bangla sentence from a human story: exclamatory or interrogative text document. Several machine learning approaches are applying to the dataset and identify the sentence from the text document. Regulating data is collected from various platforms such as story, Bengali's blog, conversation, etc. To get the output, we need to go through hard work as data cleaning, preprocessing, tokenized by the Countervector, etc. After processing data for the feeding model, we conduct various classification approaches to predict the sentence and provide high accuracy for deciding the result. Among all the approaches, Random Forest and XGBoost provide the highest accuracy of 96.39% in parallel. This study also provides the advantage of sentimental analysis by detecting the type of document in further implementation.
2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Herb leaves plays a significant role to cure various human disease throughout the world. Furtherm... more Herb leaves plays a significant role to cure various human disease throughout the world. Furthermore, it has had a great impact on clinical science. People have less information about herbs accordingly it turns into an issue to recognize them. Besides, utilizing harmful plants as a drug would genuinely expand the danger of life. As a result, it becomes a significant issue to recognize the useful herb leaves. Very few works have been done to localize and classify the herb leaves in real-time for helping people. Gradually the utilization of artificial intelligence makes our life simpler and user-friendly. Complex problems can be effectively solved with the help of artificial intelligence. In this paper, we will classify the five types of herbs respectively Mehndi, Betel, Mint, Basil, and Aloe Vera. We have proposed a neural network model using YOLO which will use for the classification of the herb leaves. In the future, we will carry out the prepared model into a versatile application that will assist the client with finding out about homegrown cures. The Classification accuracy of our model is about 95% which is promising enough compared to other relevant works.
Bulletin of Electrical Engineering and Informatics
Today the world has already acknowledged as a global village by the inter-net which has technolog... more Today the world has already acknowledged as a global village by the inter-net which has technologically evolved into a significant performance instrument for individuals, businesses, and countries seeking to achieve betterment. This study is based on data mining techniques to predict the satisfaction level of internet users from the context of Bangladesh. After conducting a public survey with 18 questions, we were able to acquire 451 responses from participants. Data for user satisfaction was associated with end-user characteristics including certain getting high speed, internet packages, cable type of Wi-Fi connection with targeting various age groups and occupations. The research's most key conceptual breakthrough was the reliability of magnitude predictions of user satisfaction level based on their experience with internet use. The empirical findings indicate that people in Bangladesh have high expectations in existing internet technology, and they are very dissatisfied with ...
<jats:p>Cucumber is grown, as a cash crop besides it is one of the main and popular vegetab... more <jats:p>Cucumber is grown, as a cash crop besides it is one of the main and popular vegetables in Bangladesh. As Bangladesh's economy is largely dependent on the agricultural sector, cucumber farming could make economic and productivity growth more sustainable. But many diseases diminish the situation of cucumber. Early detection of disease can help to stop disease from spreading to other healthy plants and also accurate identifying the disease will help to reduce crop losses through specific treatments. In this paper, we have presented two approaches namely traditional machine learning (ML) and CNN-based transfer learning. Then we have compared the performance of the applied techniques to find out the most appropriate techniques for recognizing cucumber diseases. In our ML approach, the system involves five steps. After collecting the image, pre-processing is done by resizing, filtering, and contrast-enhancing. Then we have compared various ML algorithms using k-means based image segmentation after extracted 10 relevant features. Random forest gives the best accuracy with 89.93% in the traditional ML approach. We also studied and applied CNN-based transfer learning to investigate the further improvement of recognition performance. Lastly, a comparison among various transfer learning models such as InceptionV3, MobileNetV2, and VGG16 has been performed. Between these two approaches, MobileNetV2 achieves the highest accuracy with 93.23%.</jats:p>
Proceedings of International Joint Conference on Computational Intelligence, 2020
Bangladesh extensively depends on agriculture in terms of economy as well as food security for it... more Bangladesh extensively depends on agriculture in terms of economy as well as food security for its huge population. For this reason, it is very important to efficiently grow a plant and enhance its yield. Quantity and quality of fruits can degrade due to various diseases that are very much crucial issues. A little research has been conducted for recognition of jackfruit disease to help distant farmers, utmost of who need proper cultivation support. Recognition of jackfruit diseases poses two challenging problems, i.e., detection of disease and classification of disease. In this research, we perform an in-depth investigation of an online automated agro-medical expert system that processes an image captured with handheld devices or mobile phones and recognizes the diseases for helping the distant farmers. Adequate experiment has been performed to prove the efficiency of our proposed system. k-means clustering algorithm is used to extract discriminatory features from segmented out images of diseased jackfruits. After that, we classify the diseases using support vector machines (SVMs). Our classification accuracy is nearly about 90%, which seems to be reliable as well as ensuring by comparing performances with the relevant works.
Bulletin of Electrical Engineering and Informatics, 2022
Proper navigation and detailed perception in familiar or unfamiliar environments are the main rol... more Proper navigation and detailed perception in familiar or unfamiliar environments are the main roles for human life. Eyesight sense helps humans to abstain from all kinds of dangers and navigate to indoor and outdoor environments. These are challenging activities for blind people in all environments. Many assistive tools have been developed by the blessing of technology like braille compasses and white canes that help them to navigate around in the environment. A vision and cloud-based navigation system for the visually impaired or blind person was developed. Our aim was not only to navigate them but also to perceive the environment in as much detail as a normal person. The proposed system includes ultrasonic sensors detecting obstacles, stereo camera to capture videos to perceive the environment using deep learning algorithms. Face recognition approach identified known faces in front of him. Blind people interacted with the whole system through a speech recognition module and all th...
Pigeon farming is a very familiar business as well as a hobby in Bangladesh. It has a great contr... more Pigeon farming is a very familiar business as well as a hobby in Bangladesh. It has a great contribution to our national economy. Sometimes it’s a very tough job for us to recognize pigeon breed correctly because some breed of pigeons looks similar in human eyes though they are pretty much different. Image classification plays a vital role to identify the Pigeon breed names. Automatic recognition of objects through the computer vision approach is becoming more popular day by day. So our aim is to classify the pigeon breed names. Very few works have been done for pigeon classification. We have employed a deep learning model that trained on the large data set. Our designed system can be scaled to small systems such as handheld devices and large systems such as computer vision models on the cloud. Therefore, both the users like pigeon buyers and the researchers managing the state-of-the-art research works can use this system to accomplish their purposes. We have applied different novel...
2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020
RealSense technology is such a technology which is implemented for machines and device for measur... more RealSense technology is such a technology which is implemented for machines and device for measuring the capabilities of those apparatus. The capabilities are related to the perceptions of those machines and devices. This technology mainly learns a machine to understand the world with cogitation. RealSense technology introduces cameras to explore the environment with ins and out as it is parallel working with high definition cameras. This technology is used in many categories. Object detection, facial expression detection, shape measurement, image processing, and so on. Among all of the types, RealSense technology is used in huge amount for object detection. In this category real sense mainly focus on the object which is vitally important for understanding the full scene, and understanding the other aspect of the scene with which the object can be classify for better understanding. This paper mainly provides an overview of RealSense technique to the modern technology with its 3D vis...
2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Herb leaves plays a significant role to cure various human disease throughout the world. Furtherm... more Herb leaves plays a significant role to cure various human disease throughout the world. Furthermore, it has had a great impact on clinical science. People have less information about herbs accordingly it turns into an issue to recognize them. Besides, utilizing harmful plants as a drug would genuinely expand the danger of life. As a result, it becomes a significant issue to recognize the useful herb leaves. Very few works have been done to localize and classify the herb leaves in real-time for helping people. Gradually the utilization of artificial intelligence makes our life simpler and user-friendly. Complex problems can be effectively solved with the help of artificial intelligence. In this paper, we will classify the five types of herbs respectively Mehndi, Betel, Mint, Basil, and Aloe Vera. We have proposed a neural network model using YOLO which will use for the classification of the herb leaves. In the future, we will carry out the prepared model into a versatile application that will assist the client with finding out about homegrown cures. The Classification accuracy of our model is about 95% which is promising enough compared to other relevant works.
2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Natural Language Processing (NLP) is one of the greatest familiar field of Artificial Intelligenc... more Natural Language Processing (NLP) is one of the greatest familiar field of Artificial Intelligence. Bangla text classification is become a significant problem due to the availability of textual documents. So, it's high time to solve this problem for better information organization and knowledge management. This study identifies the type of Bangla sentence from a human story: exclamatory or interrogative text document. Several machine learning approaches are applying to the dataset and identify the sentence from the text document. Regulating data is collected from various platforms such as story, Bengali's blog, conversation, etc. To get the output, we need to go through hard work as data cleaning, preprocessing, tokenized by the Countervector, etc. After processing data for the feeding model, we conduct various classification approaches to predict the sentence and provide high accuracy for deciding the result. Among all the approaches, Random Forest and XGBoost provide the highest accuracy of 96.39% in parallel. This study also provides the advantage of sentimental analysis by detecting the type of document in further implementation.
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Papers by Md. Jueal Mia