派博傳思國際中心

標題: Titlebook: Machine Intelligence and Emerging Technologies; First International Md. Shahriare Satu,Mohammad Ali Moni,Mohammad Sham Conference proceedi [打印本頁]

作者: Fillmore    時間: 2025-3-21 17:11
書目名稱Machine Intelligence and Emerging Technologies影響因子(影響力)




書目名稱Machine Intelligence and Emerging Technologies影響因子(影響力)學科排名




書目名稱Machine Intelligence and Emerging Technologies網(wǎng)絡公開度




書目名稱Machine Intelligence and Emerging Technologies網(wǎng)絡公開度學科排名




書目名稱Machine Intelligence and Emerging Technologies被引頻次




書目名稱Machine Intelligence and Emerging Technologies被引頻次學科排名




書目名稱Machine Intelligence and Emerging Technologies年度引用




書目名稱Machine Intelligence and Emerging Technologies年度引用學科排名




書目名稱Machine Intelligence and Emerging Technologies讀者反饋




書目名稱Machine Intelligence and Emerging Technologies讀者反饋學科排名





作者: 沙文主義    時間: 2025-3-21 23:39
False Smut Disease Detection in?Paddy Using Convolutional Neural Networkpathogen, Villosiclava virens, epidemics result in yield loss and poor grain quality (anamorph: Ustilaginoidea virens). As a result, the farmers’ main concern is disease management measures that are effective, simple, and practical. Because of this, we look at the image of the RFS to understand and
作者: Obliterate    時間: 2025-3-22 03:24

作者: 壓迫    時間: 2025-3-22 04:42
Potato Disease Detection Using Convolutional Neural Network: A Web Based Solutionato (.) is Bangladesh’s second-most popular and in-demand crop. But deadly diseases late blight and early blight cause an enormous loss in potato production. To increase plant yields, it is important to identify the symptoms of these diseases in plants in the early stage and advise farmers on how to
作者: Bridle    時間: 2025-3-22 11:05
Device-Friendly Guava Fruit and Leaf Disease Detection Using Deep Learningdels are used in this research, which achieved high accuracy in detecting plant disease. The problem with such models with high accuracy is that the models are of larger size which do not allow them to be applied to end-user devices. In this research, model quantization techniques such as float16 an
作者: Anticonvulsants    時間: 2025-3-22 15:50
Cassava Leaf Disease Classification Using Supervised Contrastive Learning especially in southern Africa. Cassava production is most common in South Africa because it can survive well in a harsh environment. Sometimes the cassava crop gets affected by leaf disease, which infects its overall production, and?reduces the farmers’ income. And manual leaf disease detection may
作者: Exclude    時間: 2025-3-22 18:20
Diabetes Mellitus Prediction Using Transfer Learningachine Learning has proven to be effective for diabetes prediction. However, in the literature, barely any methods used the high learning capacities of Deep Learning (DL) techniques for diabetes prediction. Hence, in this study, we have proposed methods for diabetes diagnosis using Deep Learning (DL
作者: Tartar    時間: 2025-3-23 00:04

作者: 脾氣暴躁的人    時間: 2025-3-23 04:40
Improved and Intelligent Heart Disease Prediction System Using Machine Learning Algorithmf machine learning, there are many classification algorithms for predicting heart disease. This paper presents the probability of heart disease prediction by some machine learning classifiers which are processed by feature engineering techniques on datasets. Feature engineering is used for building
作者: propose    時間: 2025-3-23 06:06
PreCKD_ML: Machine Learning Based Development of?Prediction Model for?Chronic Kidney Disease and?Iden of CKD and exact risk factors should be known to ensure proper treatment. The study mainly aims to address the issue by building a predictive model and discovers the most significant risk factors employing machine learning (ML) approach for CKD patients. Four individual machine learning classifier
作者: 有毒    時間: 2025-3-23 13:16
A Reliable and?Efficient Transfer Learning Approach for?Identifying COVID-19 Pneumonia from?Chest X- pathogenic laboratory testing, but it has a high risk of false negatives, forcing the development of additional diagnostic approaches to combat the disease. X-ray imaging is a straightforward and patient-friendly operation that may be performed in almost any healthcare facility. The aim of the repo
作者: nurture    時間: 2025-3-23 17:41

作者: 忍耐    時間: 2025-3-23 21:40
Convolutional Neural Network Model to?Detect COVID-19 Patients Utilizing Chest X-Ray Images X-ray datasets of COVID-19 infected patients from Kaggle and Github, and pre-processed it using random sampling. Then, we proposed an enhanced convolutional neural network (CNN) model to this dataset and obtained a 94.03% accuracy, 95.52% AUC and 94.03% f-measure for detecting COVID-19 patients. We
作者: fledged    時間: 2025-3-24 01:40
Classification of?Tumor Cell Using a?Naive Convolutional Neural Network Modelight, radon gas, infectious agents etc. To diagnose the tumor cell promptly nowadays computer-aided detection (CAD) systems using a convolutional neural network (CNN) draws a significant role in the health sector. Many complicated CNN model has been introduced to effectively classify tumor cell but
作者: 變形詞    時間: 2025-3-24 04:48
Tumor-TL: A Transfer Learning Approach for Classifying Brain Tumors from MRI Imageshanisms that normally govern normal cells. The identification and segmentation of brain tumors are among the most common difficult and time-consuming tasks when processing medical images. MRI is a medical imaging technique that allows radiologists to see within body structures without requiring surg
作者: 耕種    時間: 2025-3-24 10:25
Deep Convolutional Comparison Architecture for Breast Cancer Binary Classificationtly leads to pathologists disagreeing. Recently, much research has tried to develop the best breast cancer classification models to help pathologists make more precise diagnoses. Consequently, convolutional networks are prominent in biomedical imaging because they discover significant features and a
作者: HEW    時間: 2025-3-24 13:10

作者: intertwine    時間: 2025-3-24 17:47
Brain Tumor Detection Using Deep Network EfficientNet-B0ge. However, catching a brain tumor with a bare eye could sometimes lead to misguidance or be costly to find someone who is a master in this field. So, the deep learning (DL) method is a boon for detecting tumors from images in the health sector. Here, we are going to propose a DL-based modified mod
作者: LUT    時間: 2025-3-24 20:33

作者: 身體萌芽    時間: 2025-3-24 23:29

作者: keloid    時間: 2025-3-25 03:26
Abu Kowshir Bitto,Md.Hasan Imam Bijoy,Aka Das,Md.Ashikur Rahman,Masud Rabbaniist wollen wir eigentlich nur wissen, welche Mengen einer sauren oder basischen Substanz in einer Probe vorliegen. Durch die Analyse einer Titrationskurve k?nnen wir jedoch darüberhinaus die Mengen an sauren und basischen Verbindungen in einem Gemisch und deren p..-Werte bestimmen. So kann beispiels
作者: MELON    時間: 2025-3-25 09:33

作者: 得意人    時間: 2025-3-25 12:11

作者: 解脫    時間: 2025-3-25 19:11

作者: 縮減了    時間: 2025-3-25 22:07

作者: 事物的方面    時間: 2025-3-26 03:08
Md Ifraham Iqbal,Ahmed Shabab Noor,Ahmed Rafi Hasanrd durch Umwandlung von U-238 Plutonium gebildet. Die mittlere Konversionsrate — das ist der neugebildete Spaltstoff im Verh?ltnis zum verbrauchten — betr?gt etwa 0,6. Selbst wenn man das aus der Aufarbeitung rückgewonnene Uran wieder zur Anreicherung zurückführt und das gewonnene Plutonium in Brenn
作者: BOOST    時間: 2025-3-26 04:40
Md. Maidul Islam,Tanzina Nasrin Tania,Sharmin Akter,Kazi Hassan Shakibrd durch Umwandlung von U-238 Plutonium gebildet. Die mittlere Konversionsrate — das ist der neugebildete Spaltstoff im Verh?ltnis zum verbrauchten — betr?gt etwa 0,6. Selbst wenn man das aus der Aufarbeitung rückgewonnene Uran wieder zur Anreicherung zurückführt und das gewonnene Plutonium in Brenn
作者: CORE    時間: 2025-3-26 10:45
Nusrat Alam,Samiul Alam,Farzana Tasnim,Sanjida Sharminmpyems (traumatischer Pneumothorax) oder von den Lungen aus. In letzterem Falle durch Lungenzerrei?ung bzw. durch Einrei?en der Pleura pulmonalis bei starkem Husten oder Perforation eines Lungenabszesses oder eines Lungeninfarktes in die Pleurah?hle, besonders aber im Verlauf einer chronischen Lunge
作者: Commonplace    時間: 2025-3-26 14:59

作者: PTCA635    時間: 2025-3-26 18:12
Sharmeen Jahan Seema,Mosabber Uddin Ahmedurch die Schaufenster der Buchhandlungen, war eine menschliche Hand, deren vierter Finger einen Ring trug. Es war kein flaues R?ntgenogramm, wie man solche jetzt noch h?ufig bei Anf?ngern antrifft, sondern ein richtig kontrastreiches Bild. R?ntgen wollte mit diesem Bilde zeigen, da? mit Hilfe der X-
作者: 責問    時間: 2025-3-26 20:58

作者: Hiatal-Hernia    時間: 2025-3-27 01:29

作者: Bravado    時間: 2025-3-27 09:09

作者: Chronological    時間: 2025-3-27 12:33

作者: Cirrhosis    時間: 2025-3-27 17:30
Conference proceedings 2023ies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022.?.The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, an
作者: 投票    時間: 2025-3-27 19:36

作者: 外星人    時間: 2025-3-28 01:57

作者: Bronchial-Tubes    時間: 2025-3-28 04:08

作者: 馬具    時間: 2025-3-28 06:15

作者: 符合你規(guī)定    時間: 2025-3-28 13:04
Device-Friendly Guava Fruit and Leaf Disease Detection Using Deep Learningd dynamic range quantization are applied to the model architectures. The experimental results show that the GoogleNet model reached the size of 0.143?MB with an accuracy of 97% and the EfficientNet model reached the size of 4.2 MB with an accuracy of 99%. The source codes are available at ..
作者: AUGUR    時間: 2025-3-28 16:59
Lung Cancer Detection from?Histopathological Images Using Deep Learninguse large datasets of medical images are not always accessible, there are few deep structured applications used in diagnostic medical imaging. In this research, a deep learning model was created to identify lung tumors from histopathological images. Our proposed Deep Learning (DL) model accuracy was 95% and loss was 0.158073%.
作者: aesthetician    時間: 2025-3-28 19:54
978-3-031-34618-7ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023
作者: 跳脫衣舞的人    時間: 2025-3-29 00:59

作者: packet    時間: 2025-3-29 04:21

作者: 幻想    時間: 2025-3-29 10:00

作者: 有幫助    時間: 2025-3-29 14:17

作者: dura-mater    時間: 2025-3-29 17:41
Tareque Bashar Ovi,Md. Jawad-Ul Kabir Chowdhury,Shaira Senjuti Oyshee,Mubdiul Islam Rizu
作者: 獨白    時間: 2025-3-29 20:53

作者: 在駕駛    時間: 2025-3-30 03:17
Debashis Gupta,Syed Rahat Hassan,Renu Gupta,Urmi Saha,Mohammed Sowket Ali
作者: Admonish    時間: 2025-3-30 04:19
Abu Kowshir Bitto,Md. Hasan Imam Bijoy,Sabina Yesmin,Md. Jueal Mia
作者: Cervical-Spine    時間: 2025-3-30 12:10

作者: 斗爭    時間: 2025-3-30 14:58
Rahul Deb Mohalder,Khandkar Asif Hossain,Juliet Polok Sarkar,Laboni Paul,M. Raihan,Kamrul Hasan Talu
作者: interlude    時間: 2025-3-30 19:45

作者: 爭吵加    時間: 2025-3-30 22:12
werden. Wenn wir eine schwere Last fortbewegen, so sind Kraftimpulse n?tig, besonders bei den Grenzformen der Leistungsf?higkeit, dem Schwellengebiete des Gelingens und Versagens. Wir empfinden besonders bei k?rperlicher Arbeit, die uns ungewohnt ist, lebhaft, unmittelbar und stark jenen innerliche
作者: FOLD    時間: 2025-3-31 04:33

作者: 夾死提手勢    時間: 2025-3-31 08:12

作者: 冥想后    時間: 2025-3-31 13:09
Jannathul Maowa Hasi,Mohammad Osiur Rahman? unter dem Gesichtspunkt der Abschirmung mehr auf die γ- und Neutronenstrahlung gerichtet sein. Dagegen hat vor allem die α-Strahlung aufgrund der Emission radioaktiver Stoffe bezüglich der Aufnahme durch Nahrung (Ingestion) und durch Atemluft (Inhalation) wegen der stark ionisierenden Wirkung der
作者: 受傷    時間: 2025-3-31 17:05

作者: 花束    時間: 2025-3-31 19:51

作者: 衰弱的心    時間: 2025-3-31 22:21

作者: 有權威    時間: 2025-4-1 03:42
Md. Maidul Islam,Tanzina Nasrin Tania,Sharmin Akter,Kazi Hassan Shakibpe die energieabh?ngige Neutronenausbeute je Spaltung durch . mit υ(E) als der energieabh?ngigen Spaltneutronenausbeute und dem energieabh?ngigen Verh?ltnis der Wirkungsquerschnitte von Spaltung zu Absorption σ.(E)/σ. (E) des Spaltstoffs, so mu?, damit CR > 1 werden kann, zus?tzlich zum. für die Spa
作者: ATOPY    時間: 2025-4-1 08:46





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