標(biāo)題: Titlebook: Computing and Machine Learning; Proceedings of CML 2 Jagdish Chand Bansal,Samarjeet Borah,Said Salhi Conference proceedings 2024 The Editor [打印本頁] 作者: proptosis 時間: 2025-3-21 19:05
書目名稱Computing and Machine Learning影響因子(影響力)
書目名稱Computing and Machine Learning影響因子(影響力)學(xué)科排名
書目名稱Computing and Machine Learning網(wǎng)絡(luò)公開度
書目名稱Computing and Machine Learning網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computing and Machine Learning被引頻次
書目名稱Computing and Machine Learning被引頻次學(xué)科排名
書目名稱Computing and Machine Learning年度引用
書目名稱Computing and Machine Learning年度引用學(xué)科排名
書目名稱Computing and Machine Learning讀者反饋
書目名稱Computing and Machine Learning讀者反饋學(xué)科排名
作者: PANG 時間: 2025-3-21 22:45 作者: 擁護(hù) 時間: 2025-3-22 02:11 作者: 花爭吵 時間: 2025-3-22 08:03 作者: GILD 時間: 2025-3-22 12:45
Optimizing the U-Net Model for Segmenting the Lung Opacity Regions in Chest Radiographs,and appropriate treatment. To ensure continuous neuron activity during the training process, the ReLU activation in the U-Net model is replaced with the Leaky ReLU activation. The optimized U-Net model is trained and validated using 90 labeled lung opacity chest radiographs. U-Net‘s adaptability to 作者: 氣候 時間: 2025-3-22 15:59
Intelligent Surveillance Camera System Based on Object Tracking,del is used to implement and develop the proposed system. This model is one of the most advanced human object detection models and has very high accuracy with an mAP50 value of 0.878. Besides, the Deep SORT model is used for object tracking. Then, the system checks whether the detected object is in 作者: 氣候 時間: 2025-3-22 17:35 作者: 字形刻痕 時間: 2025-3-23 00:12 作者: heart-murmur 時間: 2025-3-23 05:22
Enhancing Efficiency and Functionality of Voice-Controlled Cars Through NLP Techniques and Additionnd obstacle recognition using an ultrasonic sensor to increase its usefulness in real-world scenarios. Performance study uses Python and data visualization tools to visualize the relationship between execution time and the number of instructions, which offers valuable insights for future voice-contr作者: macrophage 時間: 2025-3-23 07:34 作者: 偉大 時間: 2025-3-23 10:58 作者: nonplus 時間: 2025-3-23 15:53 作者: 不透明性 時間: 2025-3-23 18:52
Heart Disease Prediction Using Bagging QSVC Algorithm,akthrough with QSVC opens doors for quantum machine learning to transform early disease detection and pave the way for further advancements across various fields. The power of quantum computing, its application in medical prediction, the effectiveness of bagging ensembles with QSVC, and its superior作者: 壁畫 時間: 2025-3-24 01:20
Loopholes in Security Implementation of Cloud and IoT Environment: Case Study of a Recent Security countermeasures. The experiments were conducted using the Nessus tool on a multinational company’s information technology architecture comprising cloud-deployed applications and IoT devices. The study concludes by stating the basic security hygiene practices any organization needs to adapt to comply作者: Headstrong 時間: 2025-3-24 02:21 作者: 圓柱 時間: 2025-3-24 10:13 作者: custody 時間: 2025-3-24 13:37 作者: 寡頭政治 時間: 2025-3-24 17:25
Jonathan Woocher,Meredith Woocherf cloud storage by decreasing computation time and ciphertext size. In this project, users may store all sorts of files, establish an effective directory structure, and navigate it in a way that is remarkably comparable to any conventional Operating system, all in a cloud area. The system also demon作者: 影響深遠(yuǎn) 時間: 2025-3-24 20:40 作者: 值得 時間: 2025-3-25 03:11 作者: Crumple 時間: 2025-3-25 03:49
Alan Cooperman,Gregory A. Smith AI-enabled mobile application that facilitates personalised volunteer matching, scheduling, donation, and social engagement, addressing the challenges both volunteers and organisations face. It offers an efficient and innovative solution to enhance volunteer engagement and overcome the obstacles hi作者: HOWL 時間: 2025-3-25 08:05
Arnold Dashefsky,Ira M. Sheskinand appropriate treatment. To ensure continuous neuron activity during the training process, the ReLU activation in the U-Net model is replaced with the Leaky ReLU activation. The optimized U-Net model is trained and validated using 90 labeled lung opacity chest radiographs. U-Net‘s adaptability to 作者: 伙伴 時間: 2025-3-25 13:16 作者: 粉筆 時間: 2025-3-25 17:09
Arnold Dashefsky,Ira M. Sheskinh as SetFit?and?few-shot learning techniques were applied with minimal training sample sizes, yielding accuracies exceeding 90%. The model was then evaluated to identify paraphrase pairs within text, enhancing the precision of search results with fewer queries. The paper also discusses the limitatio作者: 得罪 時間: 2025-3-25 23:51
https://doi.org/10.1007/978-3-319-46122-9 data are reliable and correct. This is achieved with the help of various intelligent algorithms but the main focus of this paper is the employment of the DBSCAN to scrutinize datasets, detect anomalies, and extract valuable insights which can help in making the anomaly detection process more secure作者: Militia 時間: 2025-3-26 01:26
Ira M. Sheskin,Arnold Dashefskynd obstacle recognition using an ultrasonic sensor to increase its usefulness in real-world scenarios. Performance study uses Python and data visualization tools to visualize the relationship between execution time and the number of instructions, which offers valuable insights for future voice-contr作者: Commodious 時間: 2025-3-26 06:35
United States Jewish Population, 2017 Score. In addition, a custom metric ‘.’ has been suggested and validated using fourteen credit risk datasets. The study‘s exhaustive methodology seeks to not only find out the best model in terms of the performance but also guarantee the true nature of the model in the context of credit risk evalua作者: 褻瀆 時間: 2025-3-26 10:51
Ira M. Sheskin,Arnold Dashefskyp of a few common performance metrics like accuracy, recall, precision, F1 Score, and ROC-AUC curves. To perform recognition of the website attempting phishing activities, we are employing methodologies like Random Forest, Gradient Boosting, XGBoost, AdaBoost, and Support Vector Classification (SVC)作者: 行乞 時間: 2025-3-26 16:26 作者: sundowning 時間: 2025-3-26 17:55
https://doi.org/10.1007/978-3-030-99750-2akthrough with QSVC opens doors for quantum machine learning to transform early disease detection and pave the way for further advancements across various fields. The power of quantum computing, its application in medical prediction, the effectiveness of bagging ensembles with QSVC, and its superior作者: 剛毅 時間: 2025-3-26 21:53 作者: gerrymander 時間: 2025-3-27 01:33
Arnold Dashefsky,Ira M. Sheskin 3D ultrasound images. Evaluation metrics such as Mean Square Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and Structural Similarity Index (SSIM) were utilized to measure the performance of the different filters. The experimental setup utilized ultrasound images from USOVA3D Training Set 1, yield作者: 斥責(zé) 時間: 2025-3-27 08:51
Ira M. Sheskin,Arnold Dashefsky dentists by identifying restorative and treatment needs for each tooth or patient, significantly enhancing dental care quality and efficiency. It showcased notable performance metrics: an accuracy of 89.14%, a precision of 95.84%, and a recall of 91.93%. Through advanced data augmentation and metic作者: Ovulation 時間: 2025-3-27 10:10 作者: 鴕鳥 時間: 2025-3-27 14:22
Conference proceedings 2024the Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal?University, Sikkim, India during April 29–30, 2024. The book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and imag作者: MURKY 時間: 2025-3-27 19:57 作者: 浮雕 時間: 2025-3-28 00:24
Arnold Dashefsky,Ira M. Sheskinompressive strength across both the training and testing sets. Conversely, the ANN model exhibited slightly lower accuracy in the testing set. Sensitivity analysis indicated that concrete age was the most important parameter significantly influencing the GPC’s compressive strength, while curing time showed the least importance among the variables.作者: embolus 時間: 2025-3-28 03:00
ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Visionute Module addresses low-memory configurations, ensuring practicality and affordability. This research contributes valuable insights and tools for early plant disease detection, potentially improving crop yields and food security.作者: 委托 時間: 2025-3-28 08:26 作者: 熱烈的歡迎 時間: 2025-3-28 12:16 作者: 草本植物 時間: 2025-3-28 15:41 作者: 動脈 時間: 2025-3-28 21:23
,Detection and Prediction of Alzheimer’s Disease Using Rule Induction Method,). Some supervised machine learning methodologies, including logistic regression, support vector machines, random forests, linear discriminant analysis, and rule induction method (RIM), have been used to guess Alzheimer’s disease.作者: MURKY 時間: 2025-3-28 23:25 作者: 外星人 時間: 2025-3-29 04:09 作者: 沒花的是打擾 時間: 2025-3-29 07:39 作者: uveitis 時間: 2025-3-29 14:02 作者: 暫時別動 時間: 2025-3-29 15:47
Revitalising Volunteerism: The Transformative Influence of Artificial Intelligence in Volunteer Man Despite declining volunteering rates, India is home to millions of non-profit organisations and volunteers. This research paper examines the challenges and opportunities in India‘s volunteering landscape and presents a technological solution to revitalise volunteer engagement. The proposed study is作者: 緯線 時間: 2025-3-29 19:58
Optimizing the U-Net Model for Segmenting the Lung Opacity Regions in Chest Radiographs,nded processing times leading to increased costs and potential delays. The primary purpose of convolutional networks is to serve classification tasks that assign a single label to an entire input. However, segmentation serves as a powerful solution to overcome the limitations inherent in classificat作者: A簡潔的 時間: 2025-3-30 00:34
Intelligent Surveillance Camera System Based on Object Tracking,eillance cameras have become a useful tool to monitor and analyze human activity and behavior in important areas such as streets, train stations, airports, hospitals, shopping centers and other areas. To solve this problem, many methods and algorithms have been proposed and developed. And wonderfull作者: overhaul 時間: 2025-3-30 04:48
Data-Efficient Training for Effective Paraphrase Retrieval Techniques Using Language Models to Idennts of manual effort. Enhancing this process using Machine Learning techniques can be time consuming and expensive, as huge amounts of data needs to be used to come up with high accuracy models. This paper proposes an approach to streamline this process by integrating semantic search with paraphrase作者: STYX 時間: 2025-3-30 08:35 作者: 河潭 時間: 2025-3-30 16:15
Enhancing Efficiency and Functionality of Voice-Controlled Cars Through NLP Techniques and Additiontems. The prototype employs Natural Language Processing (NLP) techniques and an Arduino UNO-interfaced Bluetooth module to facilitate wireless communication with a dedicated Android app, “AMR Voice Control.” Through an algorithmic process, the system extracts and executes multiple voice commands seq作者: MEET 時間: 2025-3-30 17:56
Ensembling of Performance Metrics in Credit Risk Assessment Using Machine Learning Analytics, their clients is a key difficulty faced by these institutions. Since these institutions depend entirely on these prediction models, it is essential that the performance level of the model be high. Depending solely on accuracy can be risky due to the inherent nature of imbalance in most datasets. Tr作者: 傲慢人 時間: 2025-3-31 00:06 作者: 補(bǔ)充 時間: 2025-3-31 04:47
Prediction of Compressive Strength of Geopolymer Concrete via Machine Learning Techniques,ine learning approaches, artificial neural network (ANN) and random forest (RF), were established. Several input parameters, such as coarse and fine aggregates, alkaline solutions, alumino-silicate material, curing conditions, and concrete age, were taken into account. Meanwhile, the compressive str作者: arbovirus 時間: 2025-3-31 07:08 作者: Excitotoxin 時間: 2025-3-31 12:21
,Detection and Prediction of Alzheimer’s Disease Using Rule Induction Method,s expensive. Alzheimer’s disease is also one of the leading causes of mortality for senior individuals. Early Alzheimer’s detection aids in the diagnosis of the illness by medical professionals, hence reducing the danger of death. As a result, early Alzheimer‘s disease identification has turned into作者: Indurate 時間: 2025-3-31 15:42
Heart Disease Prediction Using Bagging QSVC Algorithm,arts of classical bits. Unlike binary bits, qubits can exist in a superposition of both 0 and 1 simultaneously, unlocking immense processing power for specific tasks. Quantum machine learning combines this potential with established machine learning algorithms, pushing the boundaries of disease pred作者: 最后一個 時間: 2025-3-31 18:33 作者: STENT 時間: 2025-3-31 22:01 作者: 無力更進(jìn) 時間: 2025-4-1 05:16 作者: 獨特性 時間: 2025-4-1 07:19 作者: 好色 時間: 2025-4-1 14:03 作者: Antioxidant 時間: 2025-4-1 18:19
Jonathan Woocher,Meredith Woochern the cloud and securely and efficiently distribute it among their authorized staff. Data duplication across numerous local devices is one factor in the enormous amount of data that is expanding daily. Both databases and data are made available on a large scale through the Cloud. Storage infrastruct作者: chlorosis 時間: 2025-4-1 22:03
Jewish Population in the United States, 2013hancing diagnostic accuracy, personalizing treatment, and optimizing medical data management. This transformative shift, backed by technological advancements such as 5G networks, electronic medical record systems, and wearable devices, enables real-time data transmission and remote monitoring. Inves作者: 軌道 時間: 2025-4-2 01:20
Jonathan Woocher,Meredith Woocherre-processing phase employs thumbnail resizing and normalization for computational efficiency without losing critical details. Feature extraction utilizes Vision Transformers, with variations exploring linear projections. Various Convolutional Neural Network (CNN) architectures assess the impact of 作者: 構(gòu)成 時間: 2025-4-2 06:00 作者: 范例 時間: 2025-4-2 09:29
