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Soft Computing and Signal Processing: Proceedings of 4th ICSCSP 2021

為了解決single sign-的問題，作者 這樣論述：

Data Preprocessing and finding optimal value of K for KNN Model.- Prediction of Cardiac Diseases using Machine Learning Algorithms.- A Comprehensive Approach to Misinformation Analysis and Detection of Low-Credibility News.- Evaluation of Machine Learning Algorithms for Electroencephalography based

Epileptic Seizure State Recognition.- Lung Disease Detection and Classification from Chest X-Ray Images using Adaptive Segmentation and Deep Learning.- A Quantitative analysis for Breast Cancer prediction using Artificial Neural Network and Support Vector Machine.- Tracking Misleading News of COVID-

19 within Social Media.- Energy aware Multi-chain PEGASIS in WSN: A Q-Learning Approach.- TEXTLYTIC: Automatic Project Report Summarization using NLP Techniques.- Management of Digital Evidence for Cybercrime Investigation- A Review.- Realtime Human Pose Detection and Recognition using Mediapipe.- C

harge the Missing Data with Synthesized Data by using SN-Sync technique.- Discovery of Popular Languages from GitHub Repository: A Data Mining.- Performance Analysis of Flower Pollination Algorithms using Statistical Methods: An Overview.- Counterfactual causal analysis on structured data.- Crime An

alysis Using Machine Learning.- Multi-Model Neural Style Transfer for Audio and Image (MMNST).- Feature Extraction from Radiographic Skin Cancer Data using LRCS.- Shared Filtering-Based Advice Of Online Group Voting.- Mining Challenger From Bulk Preprocessing Datasets.- Prioritized Load Balancer for

minimization of VM and Data Transfer Cost in Cloud Computing.- Smart Underground Drainage Management System using Internet of Things.- Iot Based System For Health Monitoring Of Arrhythmia Patients Using Machine Learning Classification Techniques.- EHR-Sec: A Blockchain based Security System for Ele

ctronic Health.- End to End Speaker Verication For Short Utterances.- A Comprehensive Analysis on Multi-class Imbalanced Bigdata Classification.- Efficient Recommender System for Kid’s Hobby using Machine Learning.- Programming Associative Memories.- Novel Associative Memories based on Spherical Sep

erability.- An Intelligent Fog-IoT based Disease Diagnosis Healthcare System.- Pre-processing of linguistic divergence in English- Marathi language pair in Machine Translation.- Deep Learning Approach for Image Based Plant Species Classification.- Inventory, Storage and Routing Optimization with Hom

ogeneous Fleet in the Secondary Distribution Network Using a Hybrid VRP, Clustering and MIP Approach.- Evaluation and Comparison of various static and dynamic load balancing strategies used in cloud computing.- Dielectric Resonator Antenna with Hollow Cylinder for Wide Bandwidth.- Recent Techniques

in Image Retrieval: A Comprehensive Survey.- Medical Image Fusion Based On Energy Attribute and PA-PCNN in NSST Domain.- Electrical Shift and Linear Trend artifacts removal from single channel EEG using SWT-GSTV model.- Forecasting Hourly Electrical Energy output of a Power plant using parametric mo

dels.- Cataract detection using Deep Convolutional Neural Networks.- Comparative Analysis of Body Biasing Techniques for Digital Integrated Circuits.- Optical Mark Recognition with Facial Recognition System.- Evaluation of Antenna Control System for Tracking Remote Sensing Satellites.- Face Recognit

ion using Cascading of HOG and LBP Feature Extraction.- Design of wideband patch Antenna using metamaterial and Dielectric resonator Structures.- Call Admission Control for Interactive Multimedia Applications in 4G Networks.- AI-based Pro-Mode in Smartphone Photography.- A ML-Based Model to Quantify

Ambient Air Pollutant.- Multimodal biometric system using Undecimated Dual-Tree Complex Wavelet Transform.- Design of Modified Dual - Coupled Linear Congruential Generator Method Architecture for Pseudorandom Bit Generation.- Performance Analysis of PAPR and BER in FBMC-OQAM With Low-complexity Usi

ng Modified Fast Convolution.- Sign Language Recognition using Convolution Neural Network.- Key Bas

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探討國中生對一元一次方程式圖像化問題之表現研究

為了解決single sign-的問題，作者鄭筑云 這樣論述：

本研究旨在探討國中生對一元一次方程式文字題與圖像化問題之解題表現與偏好。為了解學生對不同情境呈現方式在理解及解決數學問題的表現與差異，並比較學生的偏好與原因，研究者以桃園市及新竹縣各一所學校共71位學生為樣本，以線上問卷的方式進行資料收集，學生隨機分為代數文字題試卷、圖像化問題試卷以及圖文問題試卷等三組進行問卷填答。試卷共有八題不同情境類型之一元一次方程式試題，內容分為第一部分的題意理解與解題以及第二部分的偏好選擇與原因。研究結果如下：一、在大部分的情境類型中，圖像化問題能幫助國中一年級學生對一元一次方程式問題的題意有較佳的理解。二、並非每一種問題類型以圖像化問題的方式呈現都能獲得較好的解題

成效。對於不同類型問題情境，每組學生的表現有所不同。三、對於不同情境類型，多數學生較偏好以圖像方式呈現問題內容。然而學生對於所有問題的呈現方式並非單一偏好，會因為問題類型的不同而有不同選擇。四、對於不同問題呈現方式偏好的原因，多數偏好以文字呈現情境的學生認為文字題在解題計算上能提供較大的幫助；偏好以圖像呈現情境的學生則認為圖像化問題在理解題意上較為容易。

Diary of a Wimpy Kid: Big Shot (Book 16)

為了解決single sign-的問題，作者Jeff Kinney 這樣論述：

葛瑞的囧日記第16集 全球熱銷2億5千萬冊系列 笑料百出！讓小讀者自然愛上英文閱讀   好評不斷「葛瑞的囧日記」Diary of a Wimpy Kid系列： ★ 系列全球發行突破 2 億本，翻譯成超過 50 種語言，《紐約時報》暢銷冠軍、Amazon讀者五星最高評價 ★ 簡單易懂的用字，道地口語對白，輕鬆學到實用的英文會話，自然而然提升英文實力 ★ 漫畫式趣味圖像，幽默好笑又精彩，同時可增進美國文化的了解 ★ 美國兒童票選最愛圖書、《華盛頓郵報》評為「最成功的青少年讀物」   　　葛瑞剛結束了一場充滿災難的田徑比賽，決定從此為自己的運動生涯畫下句點，但媽媽鼓勵他再給運動一次機會，他只好

勉為其難地報名參加籃球隊。   　　葛瑞在籃球隊選拔賽中表現得一團糟，他自認無法獲選，卻意外地成為最差的球隊的一員。他和新隊友在賽季裡勝出的機會看起來很渺茫，但在體育比賽中任何事情都可能發生！當葛瑞在戰況激烈的球場上持球時，他能臨危不亂、投出關鍵致勝球嗎？ 　　In Big Shot, book 16 of the Diary of a Wimpy Kid series from #1 international bestsetlling author Jeff Kinney, Greg Heffley and sports just don't mix. 　　After a disastr

ous field day competition at school, Greg decides that when it comes to his athletic career, he's officially retired. But after his mom urges him to give sports one more chance, he reluctantly agrees to sign up for basketball. 　　Tryouts are a mess, and Greg is sure he won't make the cut. But he une

xpectedly lands a spot on the worst team. 　　As Greg and his new teammates start the season, their chances of winning even a single game look slim. But in sports, anything can happen. When everything is on the line and the ball is in Greg's hands, will he rise to the occasion? Or will he blow his bi

g shot? 　　See the Wimpy Kid World in a whole new way with the help of Greg Heffley's best friend in the instant #1 bestsellers Diary of an Awesome Friendly Kid: Rowley Jefferson's Journal, Rowley Jefferson's Awesome Friendly Adventure and Rowley Jefferson's Awesome Friendly Spooky Stories!

利用模糊層級分析法 探討半導體產業品牌影響因素之分析

為了解決single sign-的問題，作者范志旻 這樣論述：

隨著時間的流逝，半導體創新正在發生變化，可以適用於不同的創新業務，半導體業務的發展至關重要，因而開闢了許多新的職位。半導體業務是一個融合了不同創新能力並協調上游，中途和下游提供商的專業能力的行業，並且通常具有較高的進入壁壘 。廠家已投入花費很多精力與成本進入這個行業，期盼永續經營與回饋利害關係人。本研究第一步採用PEST, 五力 & SWOT分析，在美國，日本和臺灣，這些是國際半導體供應商鏈中的關鍵成員。經過最新半導體有關文獻的討論和分析，發現現有廠商已經建立了行業品牌，並獲得了用戶的信任。因此，品牌研究在這個行業是大家一直在探索的領域。考慮到寫作對話和大師談話，本研究使用分析層次結構(A

HP)研究技術對品牌的關鍵指針在半導體品牌的關鍵部件上進行重要性的排序，然後利用模糊層次分析法(FAHP)來分析這些標記之間的聯繫。經調查，有11項顯著結果可供參考，關鍵是要在半導體品牌建設上取得優異的成績，“客戶價值”和“品牌資產”都必須達到一定的水平。本研究發現，半導體品牌策略應以“客戶價值”為核心，解決客戶問題，創造卓越價值，並隨著技術的進步不斷投入新產品的研發，以奠定半導體品牌長期成功的基礎。