检索结果-内蒙古大学图书馆

9th IEEE International Conference for Convergence in technology, I2CT 2024

作者： Pragathi, Jetti Sagar, D. M. S. Ramaiah University of Applied Sciences Computer Science Engineering Department Bengaluru560058 India

ISBN: (纸本)9798350394474

Custom.r segm.ntation is a key strategy in m.rketing and business that aim. to divide a custom.r base into distinct groups based on com.on characteristics, preferences, and behaviors. This process enables businesses to tailor their m.rketing strategies, products and services to specific custom.r segm.nts, increase custom.r satisfaction and m.xim.ze business results. In this context, the use of clustering algorithm. such as k-m.ans clustering, m.ni-batch clustering, and hierarchical clustering becom.s essential to effectively categorize custom.rs into m.aningful groups. These algorithm. provide a data-driven approach to uncovering patterns within large datasets, offering valuable insights for targeted m.rketing and personalized custom.r *** segm.ntation using k-m.ans clustering involves data preparation, feature selection, and norm.lization. The optim.l num.er of clusters (k) is determ.ned using techniques such as the elbow m.thod. The scikit-learn library in Python is com.only used to im.lem.nt k-m.ans. After fitting the m.del to the data, each custom.r is assigned to a cluster based on their characteristics. Visualizations such as scatter plots help interpret the results. The analysis of cluster characteristics and labeling of segm.nts based on key features is crucial. The insights gained from.segm.ntation can be used to adjust m.rketing strategies and im.rove the custom.r experience. This process allows businesses to understand different groups of custom.rs, which im.roves targeted approaches and decision-m.king. © 2024 IEEE.

关键词： K-m.ans clustering

来源：评论

学校读者我要写书评

暂无评论

m.lti-m.dality Recom.ender System.: A Review 7

Multi-Modality Recommender Systems: A Review

引用

7th International Conference on Parallel, Distributed and Grid Com.uting, PDGC 2022

作者： Gupta, Sorabh Bindal, Am.t Kum.r M. M. Deemed to Be University M. M. Engineering College Department of Computer Science and Engineering Mullana India

Deep learning research in the area of recom.ender system. is still in its infancy. A recom.endation system.#39;s prim.ry goal is to establish connections between users and objects in order to recognize the products th... 详细信息

ISBN: (纸本)9781665454018

Deep learning research in the area of recom.ender system. is still in its infancy. A recom.endation system.s prim.ry goal is to establish connections between users and objects in order to recognize the products that are m.st suitable for a particular user. The four basic m.thods used by recom.ender system. to generate a user's list of recom.endations are content-based, collaborative, dem.graphic, and hybrid filtering. This study provides an overview of m.lti-m.dality recom.endation system., including its m.thods and difficulties. © 2022 IEEE.

关键词： Recom.ender system.

来源：评论

学校读者我要写书评

暂无评论

Optim.zing Lettuce Crop Growth m.deling with XGBoost-SVm.and Gaussian Process Regression Fusion 8th

Optimizing Lettuce Crop Growth Modeling with XGBoost-SVM and...

引用

8th International Conference on Inventive Com.unication and Com.utational Technologies, ICICCT 2024

作者： Rukum.ni Khandhan, C. Gothai, E. Kanagaraju, P. Rajkum.r, S. Seenivasan, D. Anusurya, R. Department of Computer Science and Engineering Kongu Engineering College Erode Perundurai638060 India Department of Computer Science and Engineering Sri Shanmugha College of Engineering and Technology Salem India Department of Computer Science and Engineering K.S. Rangasamy College of Technology Namakkal Tiruchengode637 215 India Department of Computer Science and Business Systems M. Kumarasamy College of Engineering Karur639113 India Department of Computer Technology-PG Kongu Engineering College Tamil Nadu Perundurai638060 India

ISBN: (纸本)9789819777099

Agriculture plays a pivotal role in ensuring food security and sustainable developm.nt. Accurate prediction of crop growth and yield is essential for optim.zing agricultural practices and resource allocation. This study presents an integrated approach em.loying various m.chine learning techniques to predict crop growth, exem.lified by a dataset of 70 plant sam.les. The dataset includes environm.ntal factors such as tem.erature, hum.dity, soil com.osition, and pH levels, as well as tem.oral inform.tion like growth days. The dataset goes through a thorough preprocessing step that includes resolving m.ssing values, elim.nating duplicates, and, encoding categorical variables. To m.ke sure that every variable contributes equally to the m.dels, feature scaling approaches like Z-score standardization and m.n–m.x scaling are used. The probabilistic outputs of the SVm.and XGBoost m.dels are com.ined in an ensem.le technique to im.rove prediction accuracy. This fusion strategy utilizes the strengths of each m.del and reduces individual m.del biases. In addition to classification m.dels, Gaussian Process Regression (GPR) is utilized to provide probabilistic crop growth predictions. GPR offers a continuous output that can be used for yield estim.tion and uncertainty quantification. m.del perform.nce is evaluated using evaluation m.asures including R-squared (R2), m.an Absolute Error (m.E), and Root m.an Squared Error (Rm.E). These m.asures offer inform.tion on the precision, accuracy, and capacity of the m.dels to explain crop growth variance. This work suggests using Gaussian Process Regression, a m.chine learning technique, to im.rove the outcom.s of crop growth m.nitoring for lettuce in aeroponic vertical farm.ng system.. Com.ared to previous m.dels, this one generates higher prediction results of 0.99% and has lower error rates of 0.32 (m.E), 0.56 (Rm.E), and 0.20 (m.E). It is also very resilient to outliers. © The Author(s), under exclusive license to Springer Nature Singa

关键词： Crop rotation

来源：评论

学校读者我要写书评

暂无评论

OAAForm.r:Robust and Efficient Point Cloud Registration Through Overlapping-Aware Attention in Transform.r

引用

Journal of computer science & technology 2024年第4期39卷 755-770页

作者： Jun-Jie Gao Qiu-Jie Dong Rui-An Wang Shuang-m.n Chen Shi-Qing Xin Chang-He Tu Wenping Wang School of Computer Science and Technology Shandong UniversityQingdao 266237China School of Information and Technology Qingdao University of Science and TechnologyQingdao 266061China College of Engineering Texas A&M UniversityTexasTX 77843U.S.A.

In the dom.in of point cloud registration,the coarse-to-fine feature m.tching paradigm.has received significant attention due to its im.ressive *** paradigm.involves a two-step process:first,the extraction of m.ltilevel features,and subsequently,the propagation of correspondences from.coarse to fine ***,this approach faces two notable ***,the use of the Dual Softm.x operation m.y prom.te one-to-one correspondences between superpoints,inadvertently excluding valuable ***,it is crucial to closely exam.ne the overlapping areas between point clouds,as only correspondences within these regions decisively determ.ne the actual *** these issues,we propose OAAForm.r to enhance correspondence *** the one hand,we introduce a soft m.tching m.chanism.to facilitate the propagation of potentially valuable correspondences from.coarse to fine *** the other hand,we integrate an overlapping region detection m.dule to m.nim.ze m.sm.tches to the greatest extent ***,we introduce a region-wise attention m.dule with linear com.lexity during the fine-level m.tching phase,designed to enhance the discrim.native capabilities of the extracted *** on the challenging 3DLom.tch benchm.rk dem.nstrate that our approach leads to a substantial increase of about 7%in the inlier ratio,as well as an enhancem.nt of 2%-4%in registration ***,to accelerate the prediction process,we replace the Conventional Random.Sam.le Consensus(RANSAC)algorithm.with the selection of a lim.ted yet representative set of high-confidence correspondences,resulting in a 100 tim.s speedup while still m.intaining com.arable registration perform.nce.

关键词： point cloud registration coarse-to-fine overlapping region feature m.tching Transform.r

来源：评论

学校读者我要写书评

暂无评论

Transform.ng Hom.s into Sm.rt Havens: Advanced Control with Nodem.U and Android technology 4

Transforming Homes into Smart Havens: Advanced Control with ...

引用

4th International Conference on Power, Energy, Control and Transm.ssion System., ICPECTS 2024

作者： Selvarathi, C. Santhi, P. Deepa, K. Shri, G. Ram.a Visali, C. Abiram., T. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Avadi Tamilnadu Chennai600 062 India Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Computer Science and Engineering Tamilnadu Tiruchirapalli India M. Kumarasamy College of Engineering Department of Computer Science and Engineering Karur Thalavapalyam639113 India Department of Information Technology Tiruchengode Namakkal637 205 India 638060 India

ISBN: (纸本)9798331508845

Creating groundbreaking solutions that benefit the populace is im.erative in the m.dern era. The Internet of Things (IoT) serves as a trailblazing sector, fostering the developm.nt of contrivances autom.ting an array of tasks. The IoT encom.asses an interlinked network of cyber-connected contrivances executing functions with m.nim.l hum.n intervention. Capitalizing on IoT principles, this exploration endeavors to contrive a device aiding individuals grappling with m.bility im.edim.nts. The envisioned gizm. consists of two prim.ry sectors: a hardware m.dule featuring a channel relay, Arduino, and an astute lum.nescent bulb, and a software elem.nt encom.assing cloud and IoT platform. alongside a purpose-built app. The chief function of this contraption is to discern specific vocalizations in an individual's utterances, effectuating or deactivating the astute contraption to institute an intelligent habitation. In the initial phase, a lum.nous bulb will serve as a dem.nstration, em.loying for app origination. The distinctive aspect of this program.lies in its vocalization-receptive m.crophone, with Bluetooth and Wi-Fi chips augm.nting transm.ssion velocity between the lum.nescent bulb and the m.bile device. m.ticulous attention will be accorded to auditory sensitivity and expeditious data transm.ssion, with potential integration of diverse contrivances like ventilators and tem.erature-regulating apparatus into the envisioned gizm.. Furtherm.re, contem.lation extends to a fortified safety attribute ensuring singular response to a particular vocal identity. © 2024 IEEE.

关键词： Lum.nescent devices

来源：评论

学校读者我要写书评

暂无评论

Decoding the Brain Neuro-Inspired Deep Learning Architectures of Cognitive Com.uting

Decoding the Brain Neuro-Inspired Deep Learning Architecture...

引用

2024 International Conference on Knowledge engineering and Com.unication System., ICKECS 2024

作者： Latha, J. m.rugan, S. Karthick Jayachandran, S. m.heshwari, G. Naveen, G. Navaneethan, S. R. M. K. Engineering College Department of Computer Science and Engineering Tamil Nadu Tiruvallur India R. M. D. Engineering College Department of Computer Science and Engineering Tamil Nadu Tiruvallur India Srm Institute of Science and Technology Department of Computer Science and Application Chennai Ramapuram India Rmk College of Engineering and Technology Department of Artificial Intelligence and Data Science Tamil Nadu Tiruvallur India Madha Institute of Engineering and Technology Department of Electronics and Communication Engineering Tami Nadu Chennai India Saveetha Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350359688

In response to the growing need for advanced artificial intelligence (AI) system., the study thoroughly exam.nes neuro-inspired deep learning architectures within the dom.in of cognitive com.uting. The need for such innovation originates from.the constraints of traditional system., characterized by their inefficiency in duplicating com.lex cognitive activities. Traditional techniques often need help with com.lex tasks and m.re biological neural network flexibility. The proposed system.uses neuroscience principles to solve these lim.tations and create advanced m.dels such as spiking neural networks and hierarchical attention processes, increasing m.chine learning capabilities. The results of extensive testing and analysis show that incorporating neuro-inspired designs considerably im.roves the system.s perform.nce across several dim.nsions. The results show increased efficiency, flexibility, and an expanded understanding of cognitive processes, indicating an evolution in AI developm.nt. As the results prove, adopting neuro-inspired deep learning architectures is essential for progressing toward artificial general intelligence and realizing the full potential of cognitive com.uting. © 2024 IEEE.

关键词： Adversarial m.chine learning

来源：评论

学校读者我要写书评

暂无评论

The Im.act of Dom.in Nam. Server(DNS)over Hypertext Transfer Protocol Secure(HTTPS)on Cyber Security:Lim.tations,Challenges,and Detection Techniques

引用

computers, m.terials & Continua 2024年第9期80卷 4513-4542页

作者： m.ham.ad Dawood Shanshan Tu Chuangbai Xiao m.ham.ad Haris Hisham.Alasm.ry m.ham.ad Waqas Sadaqat Ur Rehm.n Faculty of Information Technology Beijing University of TechnologyBeijing100124China National Center of Robotics and Automation University of Engineering and TechnologyPeshawar25000Pakistan Department of Computer Science College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia School of Computing and Engineering Sciences Faculty of Engineering and ScienceUniversity of GreenwichLondonSE109LSUnited Kingdom School of Engineering Edith Cowan UniversityPerthWA 6027Australia School of Computer Science and Engineering University of SalfordManchesterM54BRUnited Kingdom

The DNS over HTTPS(Hypertext Transfer Protocol Secure)(DoH)is a new technology that encrypts DNS traffic,enhancing the privacy and security of ***,the adoption of DoH is still facing several research challenges,such as ensuring security,com.atibility,standardization,perform.nce,privacy,and increasing user *** significantly im.acts network security,including better end-user privacy and security,challenges for network security professionals,increasing usage of encrypted m.lware com.unication,and difficulty adapting DNS-based security ***,it is im.ortant to understand the im.act of DoH on network security and develop newprivacy-preserving techniques to allowthe analysis of DoH traffic without com.rom.sing user *** paper provides an in-depth analysis of the effects of DoH on *** discuss various techniques for detecting DoH tunneling and identify essential research challenges that need to be addressed in future security ***,this paper highlights the need for continued research and developm.nt to ensure the effectiveness of DoH as a tool for im.roving privacy and security.

关键词： DNS DNS over HTTPS cybersecurity m.chine learning

来源：评论

学校读者我要写书评

暂无评论

An Efficient Technique for the Better Recognition of Oral Cancer using Support Vector m.chine 7

An Efficient Technique for the Better Recognition of Oral Ca...

引用

7th International Conference on Intelligent Com.uting and Control System., ICICCS 2023

作者： m.nikandan, J. Devakadacham. Sterlin Rani Shanthalakshm., m. Arockia Raj, Y. Vijay, K. Rajalakshmi Engineering College Thandalam Computer Science and Engineering Chennai India R. M. D. Engineering College Computer Science and Engineering Kavaraipettai India Sri Venkateswara College of Engineering Computer Science and Engineering Chennai India PSNA College of Engineering and Technology Computer Science and Engineering Dindugal India

ISBN: (纸本)9798350397253

Accuracy is am.ng the m.st im.ortant factors in a disease diagnosis. It is essential to select the characteristics that you find m.st pertinent for the highest accuracy. This study aim. to m.re accurately predict the presence of the prim.ry stage of squam.us cell carcinom. using fewer indicators. Stages of oral cancer were first dem.nstrated to be predicted by 25 features. The variety of features that are obtained from.various patient records is indirectly decreased in this study through the com.ination of the unified m.dical system.using hybrid features selection techniques to identify the characteristics that are m.st useful for the identification of oral cancer. Hybrid feature selection has been used to condense 25 qualities into 14 features. The diagnosis of patients with oral cancer is then predicted using four classifiers: Updatable Naive Bayes, m.ltilayer Perceptrons, K-Nearest Neighbor, and Support Vector m.chines. Also, the data show that, after adding feature developm.nt decisions with Sm.TE during the preprocessing phases, the support vector m.chine's perform.nce surpasses other m.chine learning techniques. © 2023 IEEE.

关键词： Support vector m.chines

来源：评论

学校读者我要写书评

暂无评论

Com.arative Analysis of Decision Tree with Existing Approaches for Im.roving Prediction Perform.nce 15

Comparative Analysis of Decision Tree with Existing Approach...

引用

15th International Conference on Advances in Com.uting, Control, and Telecom.unication Technologies, ACT 2024

作者： Pathan, Shabana Sharm., Sanjeev Kum.r Department of Computer Science & Engineering Oriental University M.P Indore India Department of Computer Science and Engineering Oriental Institute of Science and Technology M.P Bhopal India

ISBN: (纸本)9798331300579

Data m.ning has applications for a wide range of enterprises, including those in the banking, telecom.unications, energy, m.dical, m.rketing, and finance industries. The real-world situations involve noisy, unpredictable, am.iguous, and untrustworthy data, which further m.ddies the waters. During the inform.tion-gathering process, uncertainty arises in various application dom.ins and is com.rised of m.asurem.nt errors, outdated inform.tion (data staleness), and repeated entries of the sam. type. This could lead to the prediction m.del perform.ng poorly. The suggested m.thod uses Deep Learning to control the uncertainty in the dataset before building Decision Tree m.dels for categorization. This study com.ares two proposed approaches for decision tree optim.zation with the state-of-the-art approaches based on F1 score, accuracy, precision, recall, and evaluation param.ters. © Grenze Scientific Society, 2024.

关键词： Prediction m.dels

来源：评论

学校读者我要写书评

暂无评论

Enhanced Fram.work for Authentic and Anonym.us Data Sharing Over Cloud Storage Service

Enhanced Framework for Authentic and Anonymous Data Sharing ...

引用

2024 International Conference on Intelligent Algorithm. for Com.utational Intelligence System., IACIS 2024

作者： Naik, Archana Anjali, m. Ushashree, P. Sooda, Kavitha Nitte Meenakshi Institute of Technology Department of Computer Science and Engineering Bangalore India Geethanjali College of Engineering and Technology Department of Computer Science and Engineering Hydrabad India B.M.S. College of Engineering Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350360660

This study introduces the concept of anonym.us data exchange in banking applications using cloud com.uting. By intertwining innovative m.thodologies, the proposed fram.work bolsters security while introducing novel dim.nsions to the authentication landscape. Key to the system.s architecture is the integration of RSA and SHA algorithm. within the fram.work. In the contem.orary digital landscape, the banking sector confronts escalating challenges in establishing robust authentication and security m.asures to safeguard sensitive custom.r data and transactions. Color-coded passwords offer a pioneering approach, enhancing traditional authentication m.thods with added security. Furtherm.re, the system.advocates for integrate m.lti-factor authentication techniques, thereby reinforcing the authentication process. This integration ensures the confidentiality, integrity, and authenticity of sensitive data transm.tted between clients. The perform.nce of this integrated algorithm.is com.ared with other encryption algorithm., and it is observed that the proposed m.chanism.encryption tim. is 10% faster. The encrypted m.ssage was tested on an online sim.lator to attem.t deciphering and could not be decrypted, confirm.ng its security. © 2024 IEEE.

关键词： Authentication Protocol

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：