检索结果-南通市图书馆

Design of a Multi-Stage Ensemble Model for Thyroid Prediction Using Learning Approaches

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2024年第1期39卷 1-13页

作者： M.L.Maruthi Prasad R.Santhosh Department of Computer Science and Engineering Faculty of EngineeringKarpagam Academy of Higher EducationCoimbatoreTamil NaduIndia

This research concentrates to model an efficient thyroid prediction approach,which is considered a baseline for significant problems faced by the women *** major research problem is the lack of automated model to attain earlier *** existing model fails to give better prediction ***,a novel clinical decision support system is framed to make the proper decision during a time of *** stages are followed in the proposed framework,which plays a substantial role in thyroid *** steps include i)data acquisition,ii)outlier prediction,and iii)multi-stage weight-based ensemble learning process(MS-WEL).The weighted analysis of the base classifier and other classifier models helps bridge the gap encountered in one single classifier *** classifiers aremerged to handle the issues identified in others and intend to enhance the prediction *** proposed model provides superior outcomes and gives good quality prediction *** simulation is done in the MATLAB 2020a environment and establishes a better trade-off than various existing *** model gives a prediction accuracy of 97.28%accuracy compared to other models and shows a better trade than others.

关键词： Thyroid machine learning pre-processing classification prediction rate

Elevating Software Defect Prediction Performance Through an Optimized GA-DT and PSO-ACO Hybrid Approach

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Harbin Institute of Technology(New series) 2024年

作者： Chennappan R Mathumathi E Department of Computer Applications， karpagam academy of higher education

In the dynamic landscape of software technologies， the demand for sophisticated applications across diverse industries is ever-increasing. However， predicting software defects remains a crucial challenge for ensuring the resilience and dependability of software systems. This study presents a novel software defect prediction technique that significantly enhances performance through a hybrid machine learning approach. The innovative methodology integrates a Genetic Algorithm (GA) for precise feature selection， a Decision Tree (DT) for robust classification， and leverages the capabilities of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithms for precision-driven optimization. The utilization of datasets from varied sources enriches the predictive prowess of our model. Of particular significance in our pursuit is the unwavering focus on enhancing the prediction process through a highly refined PSO-ACO algorithm， thereby optimizing the efficiency and effectiveness of the GA-DT hybrid model. The thorough evaluation of our proposed approach unfolds across seven software projects， unveiling a paradigm shift in performance metrics. Results unequivocally demonstrate that the GA-DT with PSO-ACO algorithm surpasses its counterparts， showcasing unparalleled accuracy and reliability. Furthermore， our hybrid approach demonstrates outstanding performance in terms of F-measure， with an impressive increase rate of 78%.

关键词：

Biological,pathological,and multifaceted therapeutic functions of exosomes to target cancer

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Oncology Research 2024年第1期32卷 73-94页

作者： VIGNESH BALAJI E DIVYA RAMESH MANISHA CHUNGAN SHAJU AKSHARA KUMAR SAMYAK PANDEY RAKSHA NAYAK V.ALKA SRISHTI MUNJAL AMIR SALIMI K.SREEDHARA RANGANATH PAI SHANKAR M.BAKKANNAVAR Department of Pharmacology Manipal College of Pharmaceutical SciencesManipal Academy of Higher EducationManipalKarnataka576104India Department of Forensic Medicine and Toxicology Kasturba Medical CollegeManipal Academy of Higher EducationManipalKarnataka576104India School of Health and Community Services Durham CollegeOshawaOntarioL1G2G5Canada Department of Pharmaceutical Regulatory Affairs and Management Manipal College of Pharmaceutical SciencesManipal Academy of Higher EducationManipalKarnataka576104India Department of Clinical Psychology Manipal College of Health ProfessionsManipal Academy of Higher EducationManipalKarnataka576104India Department of Speech and Hearing Manipal College of Health ProfessionsManipal Academy of Higher EducationManipalKarnataka576104India Department of Pharmacy Practice Manipal College of Pharmaceutical SciencesManipal Academy of Higher EducationManipalKarnataka576104India

Exosomes,small tiny vesicle contains a large number of intracellular particles that employ to cause various diseases and prevent several pathological events as well in the human *** is considered a“double-edged sword”,and depending on its biological source,the action of exosomes varies under physiological ***,the isolation and characterization of the exosomes should be performed accurately and the methodology also will vary depending on the exosome ***,the uptake of exosomes from the recipients’cells is a vital and initial step for all the physiological *** are different mechanisms present in the exosomes’cellular uptake to deliver their cargo to acceptor *** the exosomal uptake takes place,it releases the intracellular particles that leads to activate the physiological *** though exosomes have lavish functions,there are some challenges associated with every step of their preparation to bring potential therapeutic ***,overcoming the pitfalls would give a desired quantity of exosomes with high purity.

关键词： Exosomes Physiology Cancer Therapeutics Challenges

LeafSpotNet:A deep learning framework for detecting leaf spot disease in jasmine plants

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Artificial Intelligence in Agriculture 2024年第2期12卷 1-18页

作者： Shwetha V Arnav Bhagwat Vijaya Laxmi Department of Electrical and Electronics Engineering Manipal Institute of TechnologyManipalManipal Academy of Higher EducationManipal 576104KarnatakaIndia

Leaf blight spot disease,caused by bacteria and fungi,poses a threat to plant health,leading to leaf discoloration and diminished agricultural *** response,we present a MobileNetV3 based classifier designed for the Jasmine plant,leveraging lightweight Convolutional Neural Networks(CNNs)to accurately identify disease *** model integrates depth wise convolution layers and max pool layers for enhanced feature extraction,focusing on crucial low level features indicative of the *** preprocessing techniques,including data augmentation with Conditional GAN and Particle Swarm Optimization for feature selection,the classifier achieves robust *** on curated datasets demonstrates an outstanding 97%training accuracy,highlighting its *** world testing with diverse conditions,such as extreme camera angles and varied lighting,attests to the model's resilience,yielding test accuracies between 94%and 96%.The dataset's tailored design for CNN based classification ensures result ***,the model's lightweight classification,marked by fast computation time and reduced size,positions it as an efficient solution for real time *** comprehensive approach underscores the proposed classifier's significance in addressing leaf blight spot dis-ease challenges in commercial crops.

关键词： CNN Detection Leaf CGAN Augmentation Classification Swarm optimization Disease detection Tomato leaf Casava leaf

Clinical competency:perceptions of nursing interns and clinical mentors

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Nursing 2024年第1期11卷 105-110页

作者： Jackline Prathibha Radhika R.Pai Linu Sara George Fundamentals of Nursing Manipal College of NursingManipal Academy of Higher EducationManipalKarnataka 576104India

Objective:To assess the clinical competency of nursing interns and the perception of clinical nurse mentors toward student nurses'clinical ***:A study was carried out among 104 nursing interns and 26 clinical nurse mentors using the purposive sampling technique.A self-repor ted perception scale was used to collect the ***:In general,most nursing interns perceived themselves as clinically competent during the *** clinical nurse mentors too repor ted that the current internship is helping the nursing interns in becoming ***:Frequent clinical evaluation,buddy system,provision of stipends,good leadership,and coordination between the academic institute and hospital are repor ted as the critical motivating factors for improving the clinical competency of student interns.

关键词： clinical competency clinical nurse mentors competence internship nursing interns perception

维普期刊数据库

Effectiveness of craniosacral therapy,Bowen therapy,static touch and standard exercise program on sleep quality in fibromyalgia syndrome:A randomized controlled trial

在线全文

学校读者我要写书评

暂无评论

Journal of Integrative Medicine 2024年第4期22卷 473-483页

作者： Reepa Avichal Ughreja Prem Venkatesan Dharmanand Balebail Gopalakrishna Yogesh Preet Singh Vani Lakshmi R Department of Physiotherapy Manipal College of Health ProfessionsManipal Academy of Higher EducationManipal 576104KarnatakaIndia Department of Rheumatology Manipal HospitalBengaluru 560052KarnatakaIndia Department of Clinical Immunology and Rheumatology All India Institute of Medical SciencesBilaspur 174001Himachal PradeshIndia Department of Data Science Prasanna School of Public HealthManipal Academy of Higher EducationManipal 576104KarnatakaIndia

Background:Sleep disturbance is commonly seen in fibromyalgia syndrome (FMS);however,high quality studies involving manual therapies that target FMS-linked poor sleep quality are lacking for the Indian ***:Craniosacral therapy (CST),Bowen therapy and exercises have been found to influence the autonomic nervous system,which plays a crucial role in sleep *** the paucity of evidence concerning these effects in individuals with FMS,our study tests the effectiveness of CST,Bowen therapy and a standard exercise program against static touch (the manual placebo group) on sleep quality in ***,setting,participants and intervention:A placebo-controlled randomized trial was conducted on132 FMS participants with poor sleep at a hospital in *** participants were randomly allocated to one of the four study groups,including CST,Bowen therapy,standard exercise program,and a manual placebo control group that received static ***,Bowen therapy and static touch treatments were administered in once-weekly 45-minute sessions for 12 weeks;the standard exercise group received weekly supervised exercises for 6 weeks with home exercises until 12 *** 12 weeks,all study participants performed the standard exercises at home for another 12 *** outcome measures:Sleep quality,pressure pain threshold (PPT),quality of life and fibromyalgia impact,physical function,fatigue,pain catastrophizing,kinesiophobia,and positive–negative affect were recorded at baseline,and at weeks 12 and 24 of the ***:At the end of 12 weeks,the sleep quality improved significantly in the CST group (P=0.037) and Bowen therapy group (P=0.023),and the PPT improved significantly in the Bowen therapy group(P=0.002) and the standard exercise group (P<0.001),compared to the static touch *** improvements were maintained at 24 *** between-group differences were observed for other secondary ***:CST and Bowen therapy improv

关键词： Chronic pain Complementary therapies Exercise Fibromyalgia Musculoskeletal manipulations Sleep

维普期刊数据库

Exploring the electromagnetic shielding behavior of lanthanum doped calcium nanoferrites

在线全文

学校读者我要写书评

暂无评论

Journal of Rare Earths 2024年第11期42卷 2128-2136页

作者： E.Ahilandeswari K.Sakthipandi R.Rajesh Kanna G.Rajkumar B.Ganesh Babu S.Arunmetha Aslam Hossain P.Sakthivel V.Rajendran M.Srinidhi Raghavan Department of Physics SRM TRP Engineering College Department of Electronics and Communication Engineering M. Kumarasamy College of Engineering Department of Physics Easwari Engineering College Department of Mechanical Engineering SRM TRP Engineering College Centre for Advanced Energy Studies Department of Electronics and Communication EngineeringKoneru Lakshmaiah Education Foundation Smart Materials Research Institute Southern Federal University Centre for Materials Science Department of PhysicsScience and HumanitiesFaculty of EngineeringKarpagam Academy of Higher Education Centre for Nanotechnology Academy of Maritime Education and Training (Deemed to be University) Department of Chemistry and Centre for Nano-Materials and Displays B.M.S. College of Engineering

The present study focuses on the synthesis and characterization of lanthanum(La3+)-doped calcium nanoferrites(CaLaxFe2-xO4:x=0.025,0.050,0.075 and 0.100) using the sonochemical *** techniques were employed to analyze the effect of La3+infusion,Raman spectroscopy confirms the presence of active A1g,T2gand Egmodes in the CaLaxFe2-xO4nanoferrite,indicating the formation of an active ferrite *** introduction of La3+doping results in a significant increase in the band gap energy,rendering the nanoferrites insulating（3.23-3,57 eV）.At higher frequencies,the impedance studies reveal minimal losses and better AC conductivity,pointing to improved dielectric *** higher frequencies,the Q-factor of La-doped calcium nanoferrites shows lower electromagnetic *** M-H curve exhibits ferromagnetic behavior,with La3+-doped calcium nano ferrites displaying a saturation magnetization ranging from 12.72 to 18.10 emu/*** incorporation of La3+also induces enhanced electrical polarization,leading to notable dielectric loss and increased absorption of electromagnetic ***,these CaLaxFe2-xO4nanoferrites demonstrate potential as effective microwave absorbers across a wide frequency range,with significant shielding absorption observed at 8.8-9.1 GHz.

关键词： Dielectric Magnetism Microwave absorption Nanoferrites Rare earths Structural properties

DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Artificial Intelligence in Agriculture 2024年第1期11卷 34-49页

作者： P.Isaac Ritharson Kumudha Raimond X.Anitha Mary Jennifer Eunice Robert Andrew J Department of CSE Karunya Institute of Technology and Sciences CoimbatoreTamilnaduIndia Department of Robotics Engineering Karunya Institute of Technology and SciencesCoimbatoreIndia Department of Mechatronics Engineering Manipal Institute of TechnologyManipal Academy of Higher EducationManipalKarnataka 576104India Department of Computer Science and Engineering Manipal Institute of TechnologyManipal Academy of Higher EducationManipalKarnataka 576104India

Rice stands as a crucial staple food globally,with its enduring sustainability hinging on the prompt detection of rice leaf ***,efficiently detecting diseases when they have already occurred holds paramount importance for solving the cost of manual visual identification and chemical *** the recent past,the identification of leaf pathologies in crops predominantly relies on manual methods using specialized equipment,which proves to be time-consuming and *** study offers a remedy by harnessing Deep Learning(DL)and transfer learning techniques to accurately identify and classify rice leaf diseases.A comprehensive dataset comprising 5932 self-generated images of rice leaves was assembled along with the benchmark datasets,categorized into 9 classes irrespective of the extent of disease spread across the *** classes encompass diverse states including healthy leaves,mild and severe blight,mild and severe tungro,mild and severe blast,as well as mild and severe brown *** meticulous manual labelling and dataset segmentation,which was validated by horticulture experts,data augmentation strategies were implemented to amplify the number of *** datasets were subjected to evaluation using the proposed tailored Convolutional Neural Networks *** performance are scrutinized in conjunction with alternative transfer learning approaches like VGG16,Xception,ResNet50,DenseNet121,Inception ResnetV2,and Inception *** effectiveness of the proposed custom VGG16 model was gauged by its capacity to generalize to unseen images,yielding an exceptional accuracy of 99.94%,surpassing the benchmarks set by existing state-of-the-art ***,the layer wise feature extraction is also visualized as the interpretable AI.

关键词： Rice leaf disease Deep learning CNN Crop yield Agriculture Food security

Cryogenic and conventional milling of AZ91 magnesium alloy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Magnesium and Alloys 2024年第6期12卷 2503-2519页

作者： Vikas Marakini Srinivasa Pai P Gururaj Bolar Bhaskara P Achar Department of Mechanical Engineering Nitte(Deemed to be University)NMAM Institute of Technology(NMAMIT)Nitte 574110India Department of Mechanical and Industrial Engineering Manipal Institute of TechnologyManipal Academy of Higher EducationManipal 576104India

Use of magnesium is the need of the hour due to its low density as well as its high strength-to-weight and stiffness-to-weight ratio *** study focuses on the effectiveness of liquid nitrogen(LN_(2))assisted cryogenic machining on the surface integrity(SI)characteristics of AZ91 magnesium *** milling using uncoated carbide inserts have been performed under liquid nitrogen(LN_(2))assisted cryogenic condition and compared with conventional(dry)*** are performed using machining parameters in terms of cutting speeds of 325,475,625 m/min,feed rates of 0.05,0.1,0.15 mm/teeth and depth of cuts of 0.5,1,1.5 mm *** significant surface integrity characteristics such as surface roughness,microhardness,microstructure,and residual stresses have been *** of SI characteristics with respect to milling parameters have been identified using statistical technique such as ANOVA and signal-to-noise(S/N)ratio ***,the multi criteria decision making(MCDM)techniques such as additive ratio assessment method(ARAS)and complex proportional assessment(COPRAS)have been utilized to identify the optimal conditions for milling AZ91 magnesium alloy under both dry and cryogenic *** of LN_(2)during machining,resulted in reduction in machining temperature by upto 29%with a temperature drop from 251.2℃under dry condition to 178.5℃in cryogenic *** showed the advantage of performing cryogenic milling in improving the surface integrity to a significant *** machining considerably minimized the roughness by upto 28%and maximised the microhardness by upto 23%,when compared to dry *** speed has caused significant impact on surface roughness(95.33%-dry,92.92%-cryogenic)and surface microhardness(80.33%-dry,82.15%-cryogenic).Due to the reduction in machining temperature,cryogenic condition resulted in compressive residual stresses(maximumσ║=-113 MPa)on the alloy *** indicate no

关键词： Magnesium alloy Cryogenic machining Roughness Microhardness Microstructure Residual stress Multi criteria decision making

维普期刊数据库