A Dutch Homesteader On The Prairies : The Letters of Wilhelm de Gelder 1910-13 / / Willem de Gelder

• Record Nr.: UNINA9910149196403321
• Autore: de Gelder Willem
• Pubbl/distr/stampa: Toronto : , : University of Toronto Press, , [2017]; ©1973
• ISBN: 1-4426-3811-7; 1-4426-5360-4
• Descrizione fisica: 1 online resource (110 pages)
• Collana: Heritage
• Altri autori (Persone): GanzevoortHerman
• Disciplina: 306.09
• Soggetti: Social history; Social history - Canada; Sources.; Personal correspondence; History; Electronic books.; Saskatchewan; Saskatchewan Histoire Sources; Saskatchewan History Sources
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Frontmatter -- An introduction -- A Dutch homesteader on the prairies
• Sommario/riassunto: The letters in this volume, found in the original Dutch in the archives of the Netherlands Emigration Service in Holland, form a unique chronicle of one European homesteader in Saskatchewan from 1910 to 1913. They were written by Willem dr Gelder whose experience as a homesteader was typical of that of hundreds of thousands of newcomers to the prairies in the greatest years of western expansion just before the First World War. As a European immigrant he was able to write from a special perspective often ignored in Anglo-Saxon accounts of western development. Minute and perceptive observations of daily life are contained in his letters; together with the recollections of friends and neighbours who spoke well of him, this volume forms ; the portrait of a singular man who personified the toughness and persistence of the western pioneer. De Gelder was born in the 1880s in Doorn, the son of a well-to-do banker, and received all the benefits of birth in an upper-class home, including a university education. He came to Canada in 1910 and by the 1920s he had become a successful homesteader owning a half-section of land, meeting his bills, and joining in the community life. But in 1922 he rented out his land, went to the Netherlands to see his family, and returning to Canada he disposed of his homestead - and vanished. This book traces the compass of his life in Canada, revealing the doubts and fears which culminated in his disappearance; it highlights the anguish that all immigrants, new and old, suffered when they took the crucial step of beginning a new life.

Proceedings of International Conference on Computational Intelligence : ICCI 2024 / / edited by Mukesh Saraswat, Ritu Tiwari, Mario Pavone, Mukesh Zaveri

• Record Nr.: UNINA9911021968903321
• Autore: Saraswat Mukesh
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• ISBN: 981-9645-39-5
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (717 pages)
• Collana: Algorithms for Intelligent Systems, , 2524-7573
• Altri autori (Persone): TiwariRitu; PavoneMario; ZaveriMukesh
• Disciplina: 006.3
• Soggetti: Computational intelligence; Artificial intelligence; Machine learning; Big data; Telecommunication; Computational Intelligence; Artificial Intelligence; Machine Learning; Big Data; Communications Engineering, Networks
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Photovoltaic Substation Voltage Forecasting Optimization Using Modified Metaheuristic and Gated Recurrent Unit Networks -- Enhancing Neural Architecture Search: A Comparative Optimization Framework -- Deep Learning-Driven Blood Vessel Segmentation for Early Detection and Classification of Diabetic Retinopathy -- A Comprehensive Hybrid Metaheuristic Algorithm: Leveraging Coyote and Chimp Optimization for Optimal Performance -- Modifying Metaheuristic Optimizers for Hyperparameter Tuning of Machine Learning Models Tackling Malicious Node Detection in Blockchain Networks -- Innovative Skin Disease Diagnosis: A Hybrid Learning Framework for Skin Cancer Detection -- Depth Estimation for Autonomous Vehicles with Enhanced Perception -- Hybridizing CNN with an LSTM Back-End for Univariate Rainfall Forecasting -- Enhancing ECG Abnormality Detection using Image Processing and Transfer Learning Approach -- Enhancing Transformer Efficiency through Active Learning and Knowledge Distillation -- Enhancing Dyslexia Classification using Feature Selection and Ensemble Learning Models on Eye-Tracking Data -- Classification of Arrhythmia Data and QRS Peak Detection for Feature Extraction using SVM Classifiers -- Effects of Environmental and Agronomic Factors on Crop Yield at Different Phenological Stages -- Classification Models for Predicting Accident Severity and the Impact of Factors Contributing to Severity -- A Weighted Deep Learning Approach to Identify Nucleic Acid-Binding Proteins -- Predictive Analytics in Financial Transactions: A Comparative Study for Customer Risk Assessment and Revenue Prediction -- Enhancing Renewable Energy Planning: Machine Learning-based Solar Radiation Prediction -- From Text to Treatment: Predicting Mental Health Needs through Language Analysis and Machine Learning -- A Systematic Review of Deep Learning Techniques for Enhancing Public Safety through Video Surveillance -- Particle Swarm Optimization Algorithm for Quasi-total Roman Domination -- Automatic Detection of Erythrocytes for Sickle Cell Disease Identification Based on YOLOv8n Network -- Exploring the Effectiveness of Collaborative and Content-Based Filtering Techniques in Movie Recommendation Systems with Explainable AI -- Deep Learning-Based Classification of Lung, Kidney, and Breast Cancer Tumor Tissues using Whole Slide Images from the TCGA Database -- Foot Pressure and 3D Skeleton based Multimodal Approach for Pathological Gait Classification -- A Study on Generative Adversarial Network (GAN), Neural Style Transfer (NST) and Autoencoders -- MTL-SDCNN-Based Pre-and Post-Harvest Disease Prediction of Wheat and Paddy Crops -- Mining Association Rules among Biophysical Water Parameters using Improved Frequency Pattern Growth Algorithm -- Deep Learning Approach for Detection and Classification of Alzheimer’S Disease -- Advancements in Voice Pathology Detection: A Comprehensive Bibliometric and Visual Network Analysis -- Railway Track Crack Detection System -- Enhancing Security with a Custom Authenticator App and Comprehensive Zero Trust Architecture -- Super-Resolution of MRI Images using Deep Learning for Enhanced Medical Diagnostics using Altair Rapidminer Studio -- Exloring the Role of ICT Tools for Autism Spectrum Disorder Support: A Survey-Based Study -- Advanced Data Analytics for Organ Donation Tracking using AI and Blockchain -- Adaptive Trust Based Secure Routing Protocol for Wireless Adhoc Network -- Stochastic Particle Swarm Optimization with Bayesian Inference for ; Hyperparameter Optimization in CNN for Image Classification -- MultiBand Microstrip Patch Antenna for C-Band Applications -- Thoracic Disease Detection and Classification Using Chest X-rays: A Deep Learning Approach with ResNet-50 and DenseNet-121.
• Sommario/riassunto: This book presents high-quality research papers presented at International Conference on Computational Intelligence (ICCI 2024) held at Sardar Vallabhbhai National Institute of Technology, Surat, India, during 24–26 December 2024. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms, machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.