LEADER 02617oam 2200625Ia 450 001 9910697041403321 005 20231011160411.0 035 $a(CKB)5470000002384489 035 $a(OCoLC)317307973 035 $a(EXLCZ)995470000002384489 100 $a20090327d2007 fa 0 101 0 $aeng 135 $aurmn||||a|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCharacterization of the shark bottom longline fishery, 2007 /$fLoraine F. Hale, Lisa D. Hollensead and John K. Carlson 210 1$aPanama City, Fla. :$cU.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, Panama City Laboratory,$d[2007] 215 $a1 online resource (ii, 22 pages) $ccolor illustrations, color map 225 1 $aNOAA technical memorandum NMFS-SEFSC ;$v564 300 $a"December 2007." 320 $aIncludes bibliographical references (page 14). 410 0$aNOAA technical memorandum NMFS-SEFSC ;$v564. 517 3 $aShark bottom longline fishery, 2007 606 $aLonglining (Fisheries)$xCatch effort$zAtlantic Coast (South Atlantic States)$vStatistics 606 $aLonglining (Fisheries)$xCatch effort$zGulf Coast (U.S.)$vStatistics 606 $aLonglining (Fisheries)$xBycatches$zAtlantic Coast (South Atlantic States)$vStatistics 606 $aLonglining (Fisheries)$xBycatches$zGulf Coast (U.S.)$vStatistics 606 $aShark fisheries$zAtlantic Coast (South Atlantic States)$vStatistics 606 $aShark fisheries$zGulf Coast (U.S.)$vStatistics 606 $aFisheries$zMexico, Gulf of$vStatistics 606 $aFisheries$zAtlantic Coast (South Atlantic States)$vStatistics 606 $aFishery management$zUnited States 608 $aStatistics.$2lcgft 615 0$aLonglining (Fisheries)$xCatch effort 615 0$aLonglining (Fisheries)$xCatch effort 615 0$aLonglining (Fisheries)$xBycatches 615 0$aLonglining (Fisheries)$xBycatches 615 0$aShark fisheries 615 0$aShark fisheries 615 0$aFisheries 615 0$aFisheries 615 0$aFishery management 700 $aHale$b Loraine F$01414929 701 $aHollensead$b Lisa D$01414930 701 $aCarlson$b John K$g(John Keith),$f1966-$01407993 712 02$aPanama City Laboratory. 801 0$bOLA 801 1$bOLA 801 2$bOCLCQ 801 2$bGPO 906 $aBOOK 912 $a9910697041403321 996 $aCharacterization of the shark bottom longline fishery, 2007$93515536 997 $aUNINA LEADER 06134nam 22006375 450 001 9910983323903321 005 20241112115728.0 010 $a9783031758614 010 $a3031758617 024 7 $a10.1007/978-3-031-75861-4 035 $a(CKB)36549576800041 035 $a(MiAaPQ)EBC31776509 035 $a(Au-PeEL)EBL31776509 035 $a(DE-He213)978-3-031-75861-4 035 $a(EXLCZ)9936549576800041 100 $a20241112d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning Algorithms $eFirst International Conference, ICMLA 2024, Himachal Pradesh, India, February 23?24, 2024, Proceedings /$fedited by Meenu Khurana, Abhishek Thakur, Praveen Kantha, Chin-Shiuh Shieh, Rajesh K. Shukla 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (485 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2238 311 08$a9783031758607 311 08$a3031758609 327 $a -- Machine Learning. -- Performance Evaluation of Hybrid Machine Learning Models for Prediction of Coronary Disorder in Smart Healthcare Systems -- Feature Based Machine Learning Models for Cardiovascular Disease Diagnosis: An Experimental Analysis. -- Early Liver Disease Detection through Visual Interface and Machine Learning. -- Diagnosing Autism Spectrum Disorder in Children Using Various Machine Learning Methods: A Review. -- Quantum Influence on Social Media Content: Employing Machine Learning for Sentiment Analysis. -- Predicting Forex Trends: A Comprehensive Analysis of Supervised Learning in Exchange Rate Prediction. -- 5G wireless technology throughput prediction using ensemble machine learning approach. -- Severity prediction of Omicron Sub-Variant JN.1 by using Machine Learning. -- IoT-inspired Smart Drought Prediction Framework: Machine Learning Approach. -- Deep DWT Feature Modeling for Alzheimer?s Disease Prediction: A Unique Approach. -- MobileNetV2: A proficient convolutional neural network for the Classification of Date Fruits into Genetic Varieties. -- Greenhouse Gas Prediction Using LSTM Algorithm Based on Microsensor in Bandung City, Indonesia. -- Revolutionizing Education: Assessing the Effectiveness of SER-CTL Methodology in Post-COVID Learning Environments. -- Improved Whale Optimization Algorithm for Cluster Analysis. -- Property Price Prediction using Regression Analysis. -- Personalized Healthcare Recommendations with Q-Learning Reinforcement Learning. -- Pioneering Healthcare Innovations with the Convergence of Blockchain, AI, and the Internet of Medical Things (IoMT). -- The Evolution and Potential of Conversational Agents in Healthcare. -- A Computer Aided Detection System for Lung Nodules Classification. -- A Note on Interpolation of Hermitian Signal: Based on Centrosymmetric Property. -- An Efficient Algorithm for Hadamard Product of Centrosymmetric Matrices. -- Investigation on Combined Impacts of Different Clustering Techniques and Enhanced K-means Algorithm. -- Comprehensive Exploration of IoT Communication Protocol: CoAP, MQTT, HTTP, LoRaWAN and AMQP. -- A Systematic Review on Blockchain Technology. -- A survey on datasets, feature extraction and classification techniques used in personality classification from hand-writing. -- Image Processing. -- A Generic Approach for Detection of Copy-Move Forgery Detection Scheme from Digital Images. -- An Effective Biometric Medical Image Watermarking System Designed for e-Health Application. -- Exploring Diverse Techniques in Image and Video Forgery. -- Enhancing the Accuracy of Automatic Bone Age Estimation using Optimized CNN Model on X-Ray Images. -- Machine learning-based detection of forgery in digital images. -- FaceEvoke: Eliciting Emotions through Facial Analysis. -- Efficient Aerial Object Detection: An Exploration with YOLOv8. -- Kidney Tumor Classification using Deep Learning Techniques from Computed Tomography Images. -- Unsupervised Learning for Image Forgery Detection. -- An advanced approach to detect and classify lung nodules using CT image. -- Robust Iris Image Encryption via Black Widow Optimization Method. -- Deep Learning. -- An Analysis of Deep Learning Models for Conversational Agents in Healthcare. -- Critical Evaluation of Deep Learning Models for Heart Disease Detection. -- Revolutionizing Cancer Diagnosis: The Power of Deep Learning Ensembles in Lung and Colon Cancer. -- VGG-Inspired Convolutional Neural Network Denoiser for the Enhancement of Mammogram Images. 330 $aThis book constitutes the refereed proceedings of the First International Conference on Machine Learning Algorithms, ICMLA 2024, held in Himachal Pradesh, India, during February 23?24, 2024. The 23 full papers and 17 short papers included in this book were carefully reviewed and selected from 400 submissions. They were organized in the following topical sections: machine learning; image processing; deep learning. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2238 606 $aArtificial intelligence 606 $aMachine learning 606 $aExpert systems (Computer science) 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aKnowledge Based Systems 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aExpert systems (Computer science) 615 14$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aKnowledge Based Systems. 676 $a006.3 700 $aKhurana$b Meenu$01784607 701 $aThakur$b Abhishek$01784608 701 $aKantha$b Praveen$01784609 701 $aShieh$b Chin-Shiuh$01378525 701 $aShukla$b Rajesh K$01769164 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983323903321 996 $aMachine Learning Algorithms$94316228 997 $aUNINA