作者: 大漩渦 時(shí)間: 2025-3-21 22:06 作者: 永久 時(shí)間: 2025-3-22 01:37 作者: Forehead-Lift 時(shí)間: 2025-3-22 06:09 作者: 相一致 時(shí)間: 2025-3-22 09:03
Conference proceedings 2022ience and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.作者: 固定某物 時(shí)間: 2025-3-22 13:28
,Automatic Notes Generation from?Lecture Videos,enerated transcripts, generating Portable Document Format (PDF) from the text and creating PowerPoint Presentation by extracting important points from the text using K-means clustering and LexRank extractive text summarization.作者: 卵石 時(shí)間: 2025-3-22 17:50 作者: 金絲雀 時(shí)間: 2025-3-23 00:57
Flight Delay Prediction Using Random Forest Classifier,ine learning model (Random Forest Classifier) to predict delay time and probability. As random forest, in general, is robust, more flexible, and makes effective estimates this model will help in improving the overall performance of the system.作者: 周年紀(jì)念日 時(shí)間: 2025-3-23 04:56
An Analytical Prediction of Breast Cancer Using Machine Learning,ion Tree, K-Nearest Neighbours. Support Vector Classifier and Random forest gave the highest accuracy, Evaluation metrics such are Area Under Curve-Rectified Operational Characteristics curve, confusion matrix, Recall score, accuracy. To avoid overfitting cross validation is used where k fold value is 3.作者: 憤怒事實(shí) 時(shí)間: 2025-3-23 08:03
1876-1100 m different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.978-981-16-3692-9978-981-16-3690-5Series ISSN 1876-1100 Series E-ISSN 1876-1119 作者: EWE 時(shí)間: 2025-3-23 23:31
1876-1100 ies for professionals and researchers alike.Includes selecteThis book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, so作者: 隼鷹 時(shí)間: 2025-3-24 04:24 作者: 萬(wàn)花筒 時(shí)間: 2025-3-24 09:51 作者: 實(shí)施生效 時(shí)間: 2025-3-24 10:40 作者: 支柱 時(shí)間: 2025-3-24 16:52
,A Framework Using Markov-Bayes’ Model for Intrusion Detection in Wireless Sensor Network,the network using mean shift unsupervised clustering algorithm, in the phase of training. In the next stage, the revealed clusters are generalized as an anomaly, if there is definite amount of deviation taken at the preliminary stage from normal cluster which are captured during the initial stage of作者: 離開(kāi)真充足 時(shí)間: 2025-3-24 22:40
,Effective Text Comment Classification Using Novel ML Algorithm—Modified Lazy Random Forest,oposed one more novel variant of LRF and the different machine learning algorithms are compared in terms of accuracy with proposed Modified Lazy Random Forest. The results are compare with two techniques, first is the simple hold out, and second is the K-fold cross validation. For both cases the pro作者: 知識(shí) 時(shí)間: 2025-3-24 23:33
An Improved Machine Learning Prediction Model for Diabetes, technique to make the final prediction. The accuracy of the proposed technique comes out to be 98.70% and also an improvement in precision, recall and f1 score has been noted. The mean squared error of the proposed algorithm is very less as compared to the previous classifiers.作者: confide 時(shí)間: 2025-3-25 03:40
University Recommendation System for Higher Studies in USA,versities to students looking for education for their higher studies. The main parameters used to recommend university are CGPA percentages, GRE Score, TOFEL Score, university rank, etc. This system uses machine learning algorithms and compares the accuracy of the algorithms.作者: Nonconformist 時(shí)間: 2025-3-25 11:06 作者: Cosmopolitan 時(shí)間: 2025-3-25 13:20 作者: 廣告 時(shí)間: 2025-3-25 17:26
dience primarily comprises researchers, engineers, managers, graduate students, and many others whose day-to-day work gravitates around production engineering technologies in the global market..978-3-662-53120-4作者: optic-nerve 時(shí)間: 2025-3-25 20:53
Viraj Jiwane,Anubhav DattaGupta,Arunkumar Chauhan,Vidya Patil作者: Magnificent 時(shí)間: 2025-3-26 03:26 作者: 點(diǎn)燃 時(shí)間: 2025-3-26 07:03
Ramya Sree Vejendla,Bhagya Lakshmi Pavuluri,Nandini Venigandla,Deepika Tinnavalli,Shahana Bano作者: 子女 時(shí)間: 2025-3-26 09:23 作者: 浸軟 時(shí)間: 2025-3-26 13:27 作者: Cognizance 時(shí)間: 2025-3-26 17:02 作者: 拋棄的貨物 時(shí)間: 2025-3-26 21:45
Preeti Agrawal,Akash Patole,Yogesh Patil,Parminder Kaur作者: HPA533 時(shí)間: 2025-3-27 03:28 作者: 衰老 時(shí)間: 2025-3-27 08:14 作者: ETHER 時(shí)間: 2025-3-27 12:18
D. R. Pratheeksha,R. P. Shreya Reddy,R. Jayashree This Academy is recognized worldwide to represent the highest standards in research on production engineering, which includes design, optimization, control, management of processes, machines, and systems. One key concept behind this Encyclopedia is that apart from covering fundamental concepts in t作者: mosque 時(shí)間: 2025-3-27 14:49 作者: Melanocytes 時(shí)間: 2025-3-27 20:50
Correlation Between Code Smells for Open Source Java Projects,eliver the product on time and without faults. Looking at applications built for bugs, and thus minimizing the faults becomes tedious. Different researchers have extensively studied the maintenance of software and prediction of vulnerabilities. Code smells, and bug prediction is one way to find and 作者: deciduous 時(shí)間: 2025-3-27 23:09
Throughput Improvement in Energy Efficient Heterogeneous Wireless Sensor Network, node failure. An Energy Efficient Clustering (EEC) algorithm is proposed by combining the rotation based clustering and energy saving scheme for avoiding the node failure and prolonging the network lifetime. In EEC, network is partitioned in to clusters and cluster head is selected on rotation base作者: Entropion 時(shí)間: 2025-3-28 05:56
,Deep Learning Models for Rubik’s Cube with Entropy Modelling,ly one terminal state. Recently, there are few contemporary solutions to solve Rubik cube which exploit Machine Learning Techniques. Our goal is to explore and generate Reinforcement Learning, CNN and LSTM techniques for sequence learning of Rubik cube solution with entropy modelling. The entropy is作者: acquisition 時(shí)間: 2025-3-28 09:18 作者: 勤勞 時(shí)間: 2025-3-28 13:24
,Restoration of?Rician Corrupted MR Data Using Improved Hybrid Model,median filter are pre and post stages respectively. The results were calculated using standard parameters like PSNR, SSIM and RMSE. It was found that the hybrid mm gives acceptable results when compared with standard non-linear filters when applied to T1 weighted Thorax Images. For Brain MR Images, 作者: effrontery 時(shí)間: 2025-3-28 17:55 作者: Antecedent 時(shí)間: 2025-3-28 20:01
,A Framework Using Markov-Bayes’ Model for Intrusion Detection in Wireless Sensor Network,s many restrictions for different types of attacks and network structures. A novel strategy for intrusion detection based on knowledge has to be applied where the attacks are prevented from creating deviation of normal features and also from various other aggregated shapes. Multiple types of attacks作者: BAIT 時(shí)間: 2025-3-28 23:04
,Effective Text Comment Classification Using Novel ML Algorithm—Modified Lazy Random Forest,L algorithms. There are numerous areas where these algorithms can be used. One such area is to detect whether the comment, sms or text message is SPAM or Normal message. So the aim of this work is to identify the best machine learning algorithms to detect SPAM text message on two different dataset. 作者: heckle 時(shí)間: 2025-3-29 04:50 作者: 衰弱的心 時(shí)間: 2025-3-29 07:24 作者: 沒(méi)有準(zhǔn)備 時(shí)間: 2025-3-29 15:19
Efficient and Robust Indian Number Plate Recognition Through Modified and Tuned LPRNet,tic data in Indian standards with variant background and font. We also collected and labelled real data of Indian License plates to create a genuine Indian oriented dataset. We compared existing models like SVM, KNN and CRNN in terms of accuracy and inference time, and selected LPRNet. We first trai作者: 生命層 時(shí)間: 2025-3-29 17:59
An Improved Machine Learning Prediction Model for Diabetes,diabetes thus saving lives of many. The PIMA diabetes dataset used in the research work consisted of many missing and outlier values which need to be treated. According to the medical practitioners the values of insulin, skin thickness, BMI can never be zero and both diabetic and non diabetic will h作者: 終點(diǎn) 時(shí)間: 2025-3-29 23:13
University Recommendation System for Higher Studies in USA,. New graduate students are typically unaware of the postgraduate admission criteria and procedures and may spend a substantial amount of time obtaining guidance from consulting firms to help them define their admission opportunities. But this methodology can be biased and misleading considering the作者: 出汗 時(shí)間: 2025-3-30 01:54
Comparison of Performances of Regression Model-Based Prediction of Meteorological Conditions,of temperature by training with the pre-existing dataset of weather conditions on each day for around 40?years. This trained data is tested to evaluate the temperature of a certain day in the upcoming calendar by date or year. This illustration describes the comparison between different algorithm re作者: Sad570 時(shí)間: 2025-3-30 06:03
Vocal Source Builds Divergence in Gender Recognition,s done using various image classification techniques which uses feature extraction from given set of images. As human being’s we can know the gender of the person when we talk to them, can this be achieved by a machine? This is what we are going to work in this research. This research is going to ex作者: VICT 時(shí)間: 2025-3-30 09:53
An Analytical Prediction of Breast Cancer Using Machine Learning,ed at early stage. The data about Breast cancer used in this paper is the Wisconsin dataset which is taken from Kaggle. This is a classification problem, there are two classes (0 representing a non-malignant tumor, 1 representing malignancy). Min Max scalar is used for preprocessing of data to limit作者: nocturnal 時(shí)間: 2025-3-30 14:09
A Synopsis of Monocular Depth Estimation,t error. Monocular depth estimation uses a single 2D image to estimatedepth, which makes it an exigent method. However, recent studies in monocular depth estimation based on convolutional neural networks indicate favorable performance in accuracy. Research on monocular depth training traverses throu作者: 追蹤 時(shí)間: 2025-3-30 20:04
Automated Car Parking System Using Deep Convolutional Neural Networks,reas like Colleges, Shopping Malls, Cinema theatres, Exhibitions and Convention Center has always been frustrating for many drivers. So here we are with the solution, in this paper we are addressing the vacant space with the help of deep learning method convolution neural network (CNN) and we are us作者: 沉思的魚(yú) 時(shí)間: 2025-3-30 23:44 作者: 折磨 時(shí)間: 2025-3-31 01:30 作者: SUE 時(shí)間: 2025-3-31 07:58 作者: Assemble 時(shí)間: 2025-3-31 09:23 作者: rods366 時(shí)間: 2025-3-31 16:34 作者: 鴕鳥(niǎo) 時(shí)間: 2025-3-31 21:21
Medical certification: Spaceflight participant medical standards and certification,flight since most, if not all physiological systems, are affected by microgravity, some more seriously than others. In addition, significant pathophysiological effects have been observed in astronauts, such as crewmembers being incapacitated for several days early in a mission due to repeated vomiti作者: 寄生蟲(chóng) 時(shí)間: 2025-3-31 23:03 作者: 要求比…更好 時(shí)間: 2025-4-1 03:00
A Collective Phew: Disability Acting,ity system, and in this context, considering the degree to which the existing international structures are adequate to new needs and challenges. In recent years statesmen, diplomats and scholars have devoted a great deal of attention to the question of a new ‘security landscape’. One can be fairly sceptical about this effort for several reasons.作者: Derogate 時(shí)間: 2025-4-1 09:56
Selection of Tissue for the Enzyme Assayd information with regard to the tissue to be selected for the diagnosis of a particular inborn error of metabolism. The Directory published by the European Communities can be very helpful in this respect. It is updated yearly. [6]作者: confederacy 時(shí)間: 2025-4-1 11:55 作者: 伙伴 時(shí)間: 2025-4-1 14:19
Tao Wang,Yukang Li,Wenxue Liuaper uses MATLAB code and Python libraries to process the representative data and apply the velocity model. Moreover, we have integrated it into an electric vehicle model, including the battery, to estimate the power demand for each trip and the remaining driving range. We observed that producing re作者: Bumptious 時(shí)間: 2025-4-1 22:30
The Worrying Case of Anxiety and Stress-Related Disordersch environmental factors on the physiology of the brain and the entire body and provides an overview of the effects that this can have in the precipitation of anxiety-related disorders. There is a great clinical need in this area to improve our characterization of the core symptoms of anxiety and to作者: Isthmus 時(shí)間: 2025-4-2 00:20 作者: olfction 時(shí)間: 2025-4-2 04:00
978-3-658-33859-6Der/die Herausgeber bzw. der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden Gmb作者: ALE 時(shí)間: 2025-4-2 10:32
Book 2022 Es ist wesentlich weiter gefasst und zugleich pr?ziser ausgearbeitet. Doch was bedeutet das für die Praxis? Die Autorinnen und Autoren dieses Buches betrachten Sprachmittlung und Mediation aus verschiedensten Perspektiven. Theoretische Reflexionen zur Neudefinition von Mediation werden durch Beitr?作者: 是貪求 時(shí)間: 2025-4-2 12:21
