Pyramid scheme的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

The Missing Cryptoqueen: The Billion Dollar Cryptocurrency Con and the Woman Who Got Away with It

為了解決Pyramid scheme的問題，作者Bartlett, Jamie 這樣論述：

＂Through a globe-crossing investigation into the criminal underworlds, corrupt governments, and the super-rich, Jamie Bartlett reveals a very modern tale of intrigue, techno-hype and herd madness that allowed OneCoin to become a million-person pyramid scheme. Itb2ss the inside story of the smarte

st and biggest scam of the 21st Century, and the genius behind it, who is still on the run.＂--

Pyramid scheme進入發燒排行的影片

口罩配戴影像辨識在不同環境影響之探討-以高斯雜訊為例

為了解決Pyramid scheme的問題，作者林郁修 這樣論述：

世界各地受到新型冠狀病毒的影響，外出佩戴口罩成了人們基本防疫措施，為了降低不必要的接觸風險部分工作場所與設施都將防疫系統架設在門口，測量體溫、辨識人臉上的口罩等都涵蓋在防疫系統功能中而且這些功能與物件偵測技術息息相關，但考慮到實際情況的環境變化和干擾都會影響物件偵測系統的辨識效果，其中影像雜訊干擾就是影響辨識效果的因素之一，因此本論文探討高斯雜訊影像對於物件偵測統效能的影響及辨識上的變化。本研究使用深度學習結合影像辨識的應用YOLO V4物件偵測系統辨識人臉上的口罩訓練及辨識原始口罩影像和加入不同程度高斯雜訊影響的口罩影像，在口罩數據集準備階段利用四種狀況的數據集訓練YOLO V4模型分別為

：(狀況1)原始口罩影像數據集、(狀況2)將原始口罩影像數據集全部影像加入高斯雜訊環境、(狀況3)將原始口罩影像數據集的部分影像加入高斯雜訊環境、(狀況4)原始口罩影像數據集+部分影像加入高斯雜訊環境口罩影像數據集(又可以稱為經過數據增強的原始口罩影像數據集)，比較四種狀況數據集的模型效能與辨識效果。從實驗結果中得知，經過數據增強的狀況4數據集mAP為76.72%且辨識原始口罩影像和三種不同程度高斯雜訊環境影像的平均辨識率達到81.25%，是四種狀況數據集模型中最好的一組，同時也證明根據環境因素需求以數據增強方式提升數據集數量確實能夠提升模型效能和辨識效果。

Fundamental Research in Electrical Engineering: The Selected Papers of the First International Conference on Fundamental Researc

為了解決Pyramid scheme的問題，作者 這樣論述：

Part I Biomedical Engineering.-Bioelectrical Signals: A Novel Approach towards Human .-Recognition of Speech Isolated Words Based on Pyramid Phonetic Bag of Words Model Display and Kernel-Based Support Vector Machine Classifier Model.-A Novel Improved Method of RMSHE-Based Technique for MammographyI

mages Enhancement .-Contrast Improvement of Ultrasound Images of Focal Liver Lesions Using a New Histogram Equalization.-An Unequal Clustering-Based Topology Control Algorithm in Wireless Sensor Networks using Learning Automata .-Using an Active Learning Semi-Supervision Algorithm for Classifying of

ECG Signals and Diagnosing Heart Diseases.-Automatic Clustering Using Metaheuristic Algorithms for Content Based Image Retrieval .-A Robust Blind Audio Watermarking Scheme Based on DCT-DWT-SVD.-A New Method to Copy-Move Forgery Detection in Digital Images Using Gabor Filter .-Temporal and Spatial F

eatures for Visual Speech Recognition.-The Application of Wavelet Transform in Diagnosing and Grading of Varicocele in Thermal Images .-A Review of Feature Selection Methods with the Applications in Pattern Recognition in the Last Decade.-A Review of Research Studies on the Recognition of Farsi Alph

abetic and Numeric Characters in the Last Decade .-A New Model for Iris Recognition by Using Artificial Neural Networks.-Designing a Fuzzy Expert Decision Support System Based on Decreased Rules to Specify Depression.-Part II Control Engineering.-Self-Tuning PD2-PID Controller Design by using Fuzzy

Logic for Ball and Beam System.-Design of Automatic Gain Control (AGC) Circuit for Using in a Laboratory Military Submarine Sonar Systems Based on Native Knowledge.-Active Vibration Control Based on LQR Technique for Two Degrees of Freedom System .-Control of Robot Manipulators with a Model for Back

lash Nonlinearity in .-Designing an automatic and self-adjusting leg prosthesis.-Part III Electronic Engineering.-Implement Deep SARSA in Grid World with Changing Obstacles and Testing Against New Environment .-A New 1GS/s Sampling Rate and 400 V Resolution with Reliable Power Consumption Dynamic La

tched Type Comparator.-Improved Ring-Based Photonic Crystal Raman Amplifier using Optofluidic Materials .-Considering Factors Affecting the Prediction of Time Series by Improving Sine-Cosine Algorithm for Selecting the Best Samples in Neural Network Multiple Training Model.-Advantages of Using Cloud

Computing in Software Architecture.-Designing and Implementation a Simple Algorithm Considering the Maximum Audio Frequency of Persian Vocabulary in Order to Robot Speech Control Based on Arduino.-Simulation of Bayard Alpert Ionization Vacuum Gauge with COMSOL.-Room Temperature Acetone Sensing Base

d on ZnO Nanowire/Graphene Nanocomposite . . .-Application of Learning Methods for QoS Provisioning of Multimedia Traffic in IEEE802.11e.-LUT Design with Automated Built-In Self-Test Functionality .-A framework For Effective Exception Handling in Software Requirements Phase.-HMFA: A Hybrid Mutation-

base Firefly Algorithm For Travelling Salesman Problem.-IGBT Devices, Thermal Modeling using FEM .-Part IV Power Engineering.-An Overview on the Probabilistic Safety Assessment (PSA), the Loss of External Power Source Connected to the Nuclear Power plant .-Optimization of the Fuel Consumption for th

e Vehicle by Increasing the Efficiency of the Electrical Transmission System.-Improve the Reliability and Increased lifetime of Comb Drive Structure in RF MEMS Switch.-Comparing the Efficiency of Proposed Protocol with Leach Protocol, in Terms of Network Lifetime.-Voltage Stability Enhancement along

with Line Congestion Reduction using UPFC and Wind Farm Allocation and Sizing by Two Different Evolutionary Algorithms .-Analysis of a Multilevel Inverter Topology.-Control Scheme of Micro grid for Intentional Islanding Operation.-Quasi-3D Analytical Prediction for Open Circuit Magnetic field of Ax

ial flux permanent-magnet Machine.-The Improvement of Voltage Reference below 1V w

智能影像運輸系統於輔助、維護與監控應用

為了解決Pyramid scheme的問題，作者呂安豐 這樣論述：

人工智慧的進步以更精密的方式迅速改變了交通系統。智慧交通系統結合行人、道路及車輛相關資訊，以提供更高的安全性、效率和舒適性。智慧交通系統中的每個元素相互牽制並都應被保留及作後續的改善。電腦視覺的最新進展在許多方面豐富了機器感知的能力。因此，本研究旨在提出一種基於智能視覺的方法，以加強智慧交通系統在協助、維護和監控方面的效果。在輔助方面，本研究著重於駕駛睡意偵測系統和交通場景分割，提出基於深度學習的即時駕駛睡意偵測系統，試圖提高極端場景下的睡意檢測品質。在交通場景分割中，利用了邊緣和特徵級別過濾方式，以達到更好的切割效果。此外，本論文提出基於知識轉移的方法來生成一個強大且有效的模型。在維護方面

，本論文提出經改良的道路裂紋檢測方法，著重於裂紋細化和具自動資源映射的高效檢測器。最後，監控方面基於視訊濃縮，能夠生成短、密集且緊湊的視頻。整體而言，上述六項成果在智慧交通系統的進步方面皆具有巨大的潛力，與文獻裏現有方法相比，本論文所提出的方法在各項指標上皆有突出的表現。