標(biāo)題: Titlebook: Intelligence of Things: Technologies and Applications; The Second Internati Nhu-Ngoc Dao,Tran Ngoc Thinh,Ngoc Thanh Nguyen Conference proce [打印本頁] 作者: Clientele 時(shí)間: 2025-3-21 16:51
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書目名稱Intelligence of Things: Technologies and Applications讀者反饋
書目名稱Intelligence of Things: Technologies and Applications讀者反饋學(xué)科排名
作者: 種族被根除 時(shí)間: 2025-3-21 23:00 作者: 暗指 時(shí)間: 2025-3-22 04:03
Conference proceedings 2023oT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education..作者: 改變立場 時(shí)間: 2025-3-22 07:03
Investigating Ensemble Learning Methods for?Predicting Water Quality Indexest, Extra Trees, AdaBoost, XGBoost, and Decision Tree. The obtained results show that the use of the Random Forest algorithm leads to the best performance in predicting the WQI value from the system.作者: flamboyant 時(shí)間: 2025-3-22 10:06
Detection of?Kidney Stone Based on?Super Resolution Techniques and?YOLOv7 Under Limited Training Same model precision and sensitivity to be improved considerably with highest precision reached 97.3% and sensitivity achieved 91.7% on upscaled images compared to the non-upscaled images. Consequently, the re-designed YOLOv7 and Super Resolution methods are proposed to address the problem of detection in diagnosis kidney stone disease.作者: 開始發(fā)作 時(shí)間: 2025-3-22 15:13 作者: AGOG 時(shí)間: 2025-3-22 17:35 作者: 對手 時(shí)間: 2025-3-22 22:29
Conference proceedings 2023ndergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides inf作者: Emg827 時(shí)間: 2025-3-23 01:58 作者: 焦慮 時(shí)間: 2025-3-23 05:48
2367-4512 as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education..978-3-031-46748-6978-3-031-46749-3Series ISSN 2367-4512 Series E-ISSN 2367-4520 作者: 一再困擾 時(shí)間: 2025-3-23 12:59
Intelligence of Things: Technologies and ApplicationsThe Second Internati作者: Accommodation 時(shí)間: 2025-3-23 14:19
Video Classification Based on?the?Behaviors of?Children in?Pre-school Through Surveillance Camerasbove problem. BCiPS consists of 4268 videos with lengths ranging from 3–6 seconds. We evaluate some machine learning and deep learning models on BCiPS. The CNN-LSTM model achieves the highest performance, over 75%, with four performance metrics: accuracy, recall, precision, and .. Additionally, we w作者: CLASH 時(shí)間: 2025-3-23 18:09 作者: 短程旅游 時(shí)間: 2025-3-24 01:58 作者: annexation 時(shí)間: 2025-3-24 03:36 作者: syncope 時(shí)間: 2025-3-24 07:22 作者: Cerumen 時(shí)間: 2025-3-24 13:41 作者: NOT 時(shí)間: 2025-3-24 17:36 作者: 尖酸一點(diǎn) 時(shí)間: 2025-3-24 22:19
Classification of?Raisin Grains Based on?Ensemble Learning Techniques in?Machine Learningrength of ensemble learning algorithms in machine learning such as Bagging and Boosting. Our approach achieved 93.33% of accuracy and F1 score. This result is better than other models and those from [., .].作者: 連鎖,連串 時(shí)間: 2025-3-25 03:08
An Effective Deep Learning Model for?Detecting Plant Diseases Using a?Natural Dataset for?the?Agricuracy. Additionally, we integrate data augmentation methods to emphasize disease features and augment the number of training images. When evaluated on the PlantDoc dataset, our proposed method demonstrates superior accuracy compared to previous state-of-the-art models.作者: choroid 時(shí)間: 2025-3-25 06:53 作者: labyrinth 時(shí)間: 2025-3-25 10:14 作者: Longitude 時(shí)間: 2025-3-25 12:27
lich ganz besonders von den Speziallampen mit eng begrenztem Anwendungsgebiet (Finsen-, Kromayer-, Wessely-Lampe). Immerhin lassen sich auch mit einem einzigen Lampenmodell befriedigende Erfolge erzielen, wenn dasselbe wenigstens gewisse ?nderungen in der Strahlenqualit?t und damit eine ann?hernde A作者: DRAFT 時(shí)間: 2025-3-25 19:51 作者: 細(xì)胞膜 時(shí)間: 2025-3-25 22:17
Minh Le Quang,Mi Ton Nu Quyen,Nguyen Nguyen Lam,Trung Nguyen Quoc,Vinh Truong Hoang作者: Endoscope 時(shí)間: 2025-3-26 03:08
Minh Tai Pham Nguyen,Viet Tuan Le,Huu Thanh Duong,Vinh Truong Hoang作者: 提名 時(shí)間: 2025-3-26 05:19
Duc Khai Lam,Pham Thien Long Dinh,Thi Ngoc Diem Nguyen作者: 豪華 時(shí)間: 2025-3-26 08:42 作者: olfction 時(shí)間: 2025-3-26 15:58 作者: Mnemonics 時(shí)間: 2025-3-26 20:24
Duc Dang Khoi Nguyen,Tan Duy Le,An Mai,Thi Van Khanh Nguyen,Song Thanh Quynh Le,Duc Duy Nguyen,Kha-T作者: Obsessed 時(shí)間: 2025-3-26 21:54
Nguyen Thai-Nghe,Nguyen Minh Hong,Pham Thi Bich Nhu,Nguyen Thanh Hai作者: 人充滿活力 時(shí)間: 2025-3-27 03:35 作者: acetylcholine 時(shí)間: 2025-3-27 07:57
Nguyen Huu Hai,Nguyen Xuan Thao,Tran Duc Quynh,Pham Quang Dung,Nguyen Doan Dong,Tran Trung Hieu,Hoan作者: Ptosis 時(shí)間: 2025-3-27 11:55 作者: 支架 時(shí)間: 2025-3-27 17:22 作者: 館長 時(shí)間: 2025-3-27 18:27
978-3-031-46748-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 閑逛 時(shí)間: 2025-3-28 01:44
Intelligence of Things: Technologies and Applications978-3-031-46749-3Series ISSN 2367-4512 Series E-ISSN 2367-4520 作者: medium 時(shí)間: 2025-3-28 06:01 作者: 神秘 時(shí)間: 2025-3-28 09:13
Nhu-Ngoc Dao,Tran Ngoc Thinh,Ngoc Thanh NguyenPresents recent research on Intelligence of Things.Provides proceedings of the Second International Conference on Intelligence of Things.Written by experts in the field作者: JADED 時(shí)間: 2025-3-28 13:56 作者: KEGEL 時(shí)間: 2025-3-28 18:23 作者: 易彎曲 時(shí)間: 2025-3-28 20:41 作者: 擔(dān)心 時(shí)間: 2025-3-29 01:08 作者: 發(fā)起 時(shí)間: 2025-3-29 04:32
Age-Invariant Face Recognition Based on?Self-Supervised Learningrchers have made improvements to this field, but there is still a massive gap to fill in. This study explores the effectiveness of Self-Supervised Learning (SSL), specifically the Bootstrap Your Own Latent (BYOL) technique, to improve age-invariant facial recognition models. The experimental results作者: Antarctic 時(shí)間: 2025-3-29 09:17 作者: Custodian 時(shí)間: 2025-3-29 13:41 作者: 地名表 時(shí)間: 2025-3-29 16:15
Video Classification Based on?the?Behaviors of?Children in?Pre-school Through Surveillance Camerascant risk to their safety. Constantly monitoring surveillance camera footage and analyzing it to determine if any abnormal behavior is occurring requires considerable attention and effort from human observers. Therefore, applying technology to moni- tor the abnormal behavior of children is crucial i作者: Preserve 時(shí)間: 2025-3-29 22:27
Land Subsidence Susceptibility Mapping Using Machine Learning in the Google Earth Engine Platforme analysis is supported by the Google Earth Engine cloud computing platform. The study focuses on Camau province, located in the Mekong Delta, where significant land subsidence occurs annually. Eight variables were considered in the models, including elevation, slope, aspect, land cover, NDVI, soil 作者: corpuscle 時(shí)間: 2025-3-30 00:52 作者: 姑姑在炫耀 時(shí)間: 2025-3-30 04:19
Seam Puckering Level Classification Using AIoT Technologys, encountering such defects is unavoidable. As a result, manufacturers need quality management staff to evaluate the pucker’s level and check whether puckers appear. Consequently, the task consumes manufacturers’ time, effort, and human resources. To address this issue, we propose a framework using作者: ovation 時(shí)間: 2025-3-30 11:23
Classification of Pneumonia on Chest X-ray Images Using Transfer Learningakened immune systems. Pneumonia is a dangerous disease and often causes death if not being detected and treated instantly. Extensive research has revealed various pathogens, including bacteria, viruses, and fungi, as the potential causes of pneumonia. Furthermore, the global spread of COVID-19 has 作者: motor-unit 時(shí)間: 2025-3-30 15:56 作者: Organization 時(shí)間: 2025-3-30 17:12 作者: Charade 時(shí)間: 2025-3-30 23:57
Deep Learning Approach for Inundation Area Detection Using Sentinel Datanetwork for the purpose of automatic and rapid detection of inundation regions, the training data generated from the fusion of Sentinel-1 and Sentinel-2 data, the training process executed on Google Earth Engine platform. The proposed Siameses deep learning network uses two subnets of UNet, one (nam作者: 注射器 時(shí)間: 2025-3-31 03:38
Classification of?Raisin Grains Based on?Ensemble Learning Techniques in?Machine Learning issue can be considered as classification one. In recent years, Raisin classification problem has been a topic of interest. In this paper, we consider Raisin Grains dataset in Turkey. In literature, the best accuracy of Raisin Classification models was not high and under 88%. Additionally, insuffic作者: nonchalance 時(shí)間: 2025-3-31 07:20 作者: 扔掉掐死你 時(shí)間: 2025-3-31 09:30 作者: 彎腰 時(shí)間: 2025-3-31 16:01 作者: 結(jié)束 時(shí)間: 2025-3-31 20:37
An Improved Hardware Architecture of?Ethereum Blockchain Hashing Systemminent is Ethereum, the most popular and highly valued cryptocurrency on the market. It is used in many aspects of society, including healthcare, education, and the economy. Ethereum mining is the process of adding a block of transactions to the Ethereum Blockchain. This process generates a new bloc作者: Cupping 時(shí)間: 2025-3-31 23:46 作者: LVAD360 時(shí)間: 2025-4-1 03:42
2628-7382 qualifizierten Nachwuchskr?fte das "klassische" Thema Personalbeschaffung aus einer Wettbewerbs- bzw. Strategie- perspektive. Hierfür wird zun?chst auf Grundlag978-3-8244-7548-3978-3-663-08990-2Series ISSN 2628-7382 Series E-ISSN 2628-7404 作者: 消極詞匯 時(shí)間: 2025-4-1 08:47
Anik Islam,Md. Fazlul Kader,Md. Mofijul Islam,Soo Young Shinn belehrt uns darüber in einer Weise, die Widerspruch nicht aufkommen l??t. Fraglich erscheint aber, ob eine solche Verminderung der Gesamtblutmenge l?ngere Zeit vorkommen kann; denn man überzeugt sich immer, wie rasch das Blut Plasma aus dem Gewebe an sich rei?t. Daher scheint mir die ., doch . und
