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1. |
Record Nr. |
UNINA9910790486703321 |
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Autore |
Stratten Scott |
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Titolo |
The book of business awesome [[electronic resource] ] : how engaging your customers and employees can make your business thrive ; The book of business unawesome : the cost of not listening, engaging, or being great at what you do / / Scott Stratten |
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Pubbl/distr/stampa |
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Hoboken, N.J., : John Wiley & Sons, Inc., c2012 |
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ISBN |
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1-118-31546-4 |
1-282-24186-9 |
9786613812988 |
1-118-31545-6 |
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Descrizione fisica |
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1 online resource (274 p.) |
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Disciplina |
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Soggetti |
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Relationship marketing |
Customer relations |
Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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How one man changed a billion-dollar brand -- Marketing is a verb -- Remarry your current customers -- The sun rises online. |
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Sommario/riassunto |
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UnAwesome is UnAcceptable. The Book of Business Awesome is designed as two short books put together-one read from the front and the other read from the back when flipped over. Covering key business concepts related to marketing, branding, human resources, public relations, social media, and customer service, The Book of Business Awesome includes case studies of successful businesses that gained exposure through being awesome and effective. This book provides actionable tools enabling readers to apply the concepts immediately to their own businesses. The flip side of the |
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2. |
Record Nr. |
UNISA996630861303316 |
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Autore |
Hernández-García Ruber |
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Titolo |
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26–29, 2024, Proceedings, Part II / / edited by Ruber Hernández-García, Ricardo J. Barrientos, Sergio A. Velastin |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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9783031766046 |
9783031766039 |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (0 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15369 |
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Altri autori (Persone) |
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BarrientosRicardo J |
VelastinSergio A |
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Disciplina |
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Soggetti |
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Pattern recognition systems |
Machine learning |
Computer vision |
Computer engineering |
Computer networks |
Automated Pattern Recognition |
Machine Learning |
Computer Vision |
Computer Engineering and Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Unmasking Phishing Attempts A Study on Detection in Spanish Emails -- Comparative Analysis of Spatial and Spectral Methods in GNN for Power Flow in Electrical Power Systems -- An Effective Artificial Intelligence Pipeline for Automatic Manatee Count Using their Tonal Vocalizations -- Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection -- Rethinking the Quality of Synthetic Palm Vein Images from Spectral Analysis -- An uncertainty driven ScaledYOLOv4 for open pit mining helmet detection -- A generative algorithm to compute NanoFingerprints -- Impact of agricultural production on climate change in South America comparative analysis |
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between 1990 and 2020 -- VAVnets retinal vasculature segmentation in few shot scenarios -- Remote Sensing Based Precipitation Detection using Conditional GAN and Recurrent Neural Networks -- Data Driven Genetic Algorithm for the Optimization of Water Distribution Networks A New Surrogate Model for Estimating Investment and Operational Costs in Pumping Stations -- Gene Regulatory Network for the Tryptophanase operon under the Threshold Boolean Network Model -- Multilabel Classification of Intracranial Hemorrhages using Deep Learning and Preprocessing Techniques on Non Contrast CT Images -- Segmentation of Brain Tumor Parts from Multi Spectral MRI Records Using Deep Learning and U net Architecture -- Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X ray Images -- Predicting Next Phases of Multi-Stage Network Attacks A Comparative Study of Statistical and Deep Learning Models -- Improving Suicide Ideation Screening with Machine Learning and Questionnaire Optimization through Feature Analysis -- Aquila Optimizer for hyperparameter metaheuristic optimization in Extreme Learning Machine -- Mixture of LSTM Experts for Sales Prediction with Diverse Features. |
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Sommario/riassunto |
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This two-volume set LNCS 15368-15369 constitutes the refereed proceedings of the 27th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2024, held in Talca, Chile, during November 26-29, 2024. The 35 full and 3 short papers presented in these proceedings were carefully reviewed and selected from 61 submissions. The papers presented in these two volumes are clustered into various thematical issues as follows: Part I: Mathematical methods and computing techniques for artificial intelligence and pattern recognition, bioinformatics. Part II: Biometrics, cognitive and humanoid vision, computer vision, image analysis, intelligent data analysis. |
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