Titlebook: Advancements in Smart Computing and Information Security; Second International Sridaran Rajagopal,Kalpesh Popat,Sunil Bajeja Conference pro

消息靈通

Contributions to Management Sciencelosis dataset. Naive Bayes, Logistic Regression, Decision Tree, Random Forest classifier, K-Nearest Neighbour, and Support Vector Machine were among the classification techniques examined in the investigation. Support Vector Machine (SVM), Random Forest, and Decision Tree algorithms show the highest

中世紀(jì)

Block Chain and IoT Architecture,positive, negative, neutral), subjective opinion, emotional tone, sometimes even more fine-grained emotion like joy, anger, sadness, and others. The evolution of sentiment analysis from its early days of text only analysis to the incorporation of multimodal data has significantly enhanced the accura

Induction

A. Swain,K. P. Swain,G. Palai,M. N. Mohantyeases that direct to decline of the mixed economy. The most important economic and scientific challenge in agriculture is the categorization and identification of rice disorders. Detection and monitoring of theses disease is the critical issue. If these diseases are identified at the first stage app

杠桿支點(diǎn)

https://doi.org/10.1007/978-3-030-89546-4on and precise prediction of CVDs. We offer an in-depth process for feature extraction and classification for CVD risk identification in this paper. By combining the strength of Support Vector Machines (SVM) classification with Linear Discriminant Analysis (LDA), Principal Component Analysis (PCA) a

驚惶

https://doi.org/10.1007/978-1-4842-2604-9ter-based algorithms are exact results, adaptability, transparency, and better decision-making. The proposed work three major steps are preprocessing, feature selection and classification. Firstly preprocessing, data analysis pre-processing is the major step in identifying exact methods. Most of the

繞著哥哥問(wèn)

Graphite

https://doi.org/10.1007/978-1-4842-2604-9dical data, identify cardiac disorders, and make precise predictions about their presence or absence. Utilizing the effectiveness of LR (Logistic Regression) in combination with sophisticated preprocessing methods has emerged as an important strategy in the classification of heart-related diseases.

我沒(méi)有強(qiáng)迫

Understanding the Nature of Ownershiphnologies for production. The next major important requirement in Plant diseases is early prediction and necessary related recommendations. In this research, the proposed method is implemented with the plant leaf dataset, which consists of diseased and healthy data of various plant leaves. The predi

乞丐

Cytology

Advances in Information Security red blood cells, or any one of the four main components of blood. Proposed work goal is to identify cancer blood condition. In this research, Images of cancer and blood disorder are preprocessed utilizing enhancement and filtration methods. In research suggested a 2D Hybrid Wavelet Frequency Domain