LEADER 02056nam 2200469 450 001 9910794590903321 005 20230630000048.0 010 $a1-68403-627-5 010 $a1-68403-628-3 035 $a(CKB)4100000011747616 035 $a(MiAaPQ)EBC6468335 035 $a(Au-PeEL)EBL6468335 035 $a(OCoLC)1195818818 035 $a(EXLCZ)994100000011747616 100 $a20220525d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHelping your child with sensory regulation $eskills to manage the emotional and behavioral components of your child's sensory processing challenges /$fSuzanne Mouton-Odum, Ruth Goldfinger Golomb, Fred Penzel 210 1$aOakland, California :$cNew Harbinger Publications,$d[2021] 210 4$dİ2021 215 $a1 online resource (224 pages) 311 $a1-68403-626-7 320 $aIncludes bibliographical references. 330 $aThis book addresses the often-overlooked connection between sensory sensitivity and the emotional and behavioral issues that can lead to a diagnosis of attention deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and other disorders. Parents will not only gain a better understanding of their child's emotions and behaviors, but will also learn powerful sensory regulation skills to help their child--and family as a whole--find some much-needed balance. 606 $aSensory integration dysfunction in children 606 $aSensory disorders in children$xTreatment 615 0$aSensory integration dysfunction in children. 615 0$aSensory disorders in children$xTreatment. 676 $a618.928 700 $aMouton-Odum$b Suzanne$01514072 702 $aPenzel$b Fred 702 $aGolomb$b Ruth Goldfinger 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910794590903321 996 $aHelping your child with sensory regulation$93748936 997 $aUNINA LEADER 01021nam 2200361 450 001 9910826201903321 005 20230629235401.0 010 $a0-9883788-1-7 035 $a(CKB)4100000011642780 035 $a(MiAaPQ)EBC6421327 035 $a(EXLCZ)994100000011642780 100 $a20210325d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCo-creating safety $ehealing the fragile patient /$fJon Frederickson, MSW 210 1$aKensington, Maryland :$cSeven Leaves Press,$d[2021] 210 4$dİ2021 215 $a1 online resource (xxiv, 527 pages) $cillustrations 311 $a0-9883788-0-9 606 $aPsychotherapy 615 0$aPsychotherapy. 676 $a616.8914 700 $aFrederickson$b Jon$01609935 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910826201903321 996 $aCo-creating safety$93937437 997 $aUNINA LEADER 05669nam 22004935 450 001 9911046554503321 005 20250819130303.0 010 $a3-031-94283-3 024 7 $a10.1007/978-3-031-94283-9 035 $a(CKB)40378623500041 035 $a(MiAaPQ)EBC32265623 035 $a(Au-PeEL)EBL32265623 035 $a(DE-He213)978-3-031-94283-9 035 $a(EXLCZ)9940378623500041 100 $a20250819d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Technologies in Electronics, Communications and Signal Processing $eFirst EAI International Conference, ICATECS 2024, Hyderabad, India, July 26?27, 2024, Proceedings, Part II /$fedited by Krishna Kishore Koganti, Sreenivasa Rao E., Nishu Gupta 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (537 pages) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v620 311 08$a3-031-94282-5 327 $aMachine Learning and Deep Learning Applications -- Optimizing Blood Donation Operations with a PHP Driven Management System -- FIT FORMA: live fitness tracking application with blaze pose -- Genetic Algorithm Driven Hyperparameter Optimization for Precision Sickle Cell Disease Prognosis -- Enhanced Weed Classification with a Custom CNN: Evaluating Optimizer Performance -- A STRATEGY FOR SAFEGUARDING THE MOST FRAGILE RAIL TRANSPORT SYSTEM IN THE EVENT OF AN ACCIDENT - ?TRACK SENTIAL? -- Leveraging Transfer Learning for Plant Identification with Limited Data: A MobileNet V2 Based Approach -- Airline Passenger Satisfaction Analysis using Classifiers of Computation Models and Explainable AI -- Classify Object Behavior to Enhance the Safety of Autonomous Vehicles -- Bottom Bounce Analysis of Multipath Acoustic Propagation in Deep Water -- Comparative Analysis of Self-Supervised Monocular Depth Estimation and ORB-SLAM2 in Visual Perception and Robotics -- Acoustic based Drone Detection using Machine Learning -- Bifunctional Tunable Metasurface for Terahertz Shielding and Refractive Index Sensing Using a Machine Learning Based Prediction Model -- Temporal Analysis in Deep Learning-Based Recommender Systems for Predicting Plant Disease Outbreaks -- Enhancing IoT Security: Multiclass Traffic Classification with Advanced Machine Learning Algorithms -- Detection of Artificial Profiles on Social Media Platforms Using Machine Learning and Natural Language Processing -- Towards sustainable weed management using lightweight deep learning model -- Enhancing Safety in Autonomous Vehicles Using Advanced Deep Learning-Based Pothole Detection -- CalMeter: Food Recognition and Calorie Estimation using Deep Learning -- Enhancing Web-Based Advanced Persistent Threat Detection through Deep Learning Techniques -- Application of Machine Learning Algorithms for Vegetable Quality Prediction -- Diabetic Retinopathy Detection using Deep Learning -- Optimized Feature Selection for Motion Sensor Based Human Activity Recognition with Machine Learning Techniques -- Enhancing Spectrum Awareness in Cellular Networks through Deep Learning Approaches for Efficient 5G-NR and LTE Signal Classification -- Advancements in Diabetes Prediction: Integrating Machine Learning with Smart Sensor -- A Hybrid Deep Learning Approach to X-Ray Diagnosis of Lung Diseases -- Transparency in Lung Cancer Prediction: Integrating Explainable AI Techniques with Machine Learning Models -- Accurate Prediction and Classification of Heart failure using Machine learning algorithms and Interpretation using Explainable AI -- Electric Vehicle Charging Stations: A Comparative Study of Multiple Machine Learning Classifiers and Interpretation Using Explainable AI -- Deep Learning for Urban Sound Classification: Using CNN and YAMNet Model Integration -- MelanomaNet: Deep Learning for Skin Cancer Diagnosis through Inception V3 -- Deciphering Chronic Kidney Disease Diagnosis: A Comparative Exploration of Computational Approaches with LIME and SHAP Interpretation -- Exploring Seed Quality Assessment through Convolutional Neural Networks and Generative Adversarial Networks -- Tuberculosis Detection in Chest X-rays using Deep Learning Algorithms with segmentation and data augmentation techniques. 330 $aThis book LNICST 620 constitutes the proceedings of the First EAI International Conference on Advanced Technologies in Electronics, Communications and Signal Processing, ICATECS 2024, held in Hyderabad, India, during July 26?27, 2024. The 65 full papers were carefully reviewed and selected from 210 submissions. They were categorized under the topical sections as follows: Wireless Communication and IoT; RF and Signal processing; VLSI System Design; Machine Learning and Deep Learning Applications. 410 0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v620 606 $aComputer networks 606 $aComputer Communication Networks 615 0$aComputer networks. 615 14$aComputer Communication Networks. 676 $a004.6 700 $aKoganti$b Krishna Kishore$01862520 701 $aE$b Sreenivasa Rao$01862521 701 $aGupta$b Nishu$01204514 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911046554503321 996 $aAdvanced Technologies in Electronics, Communications and Signal Processing$94468807 997 $aUNINA