最適レベル補正と幾何学的モデル選択による高精度色補正 :
画像処理パイプラインの構築を目指して スライド
High Accuracy Color Correction by Optimal Level Correction
and Geometric Model Selection: Toward Construction of Image Processing Pipeline
Decoding Kotlin - Your Guide to Solving the Mysterious in Kotlin - Devoxx PL ...Jo?o Esperancinha
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Kotlin can be very handy and easy to use. Kotlin offers the possibility to develop code that is easy to understand, safe, immutable, and thus predictable and follows standards that avoid side effects. I realized that very quickly after I started my Kotlin journey that already amounts to more than 5 years.
This is the third version of this presentation focused on more detail explaining inline, crossinline, tailrec and as a bonus a quick run through unnamed classes.
最適レベル補正と幾何学的モデル選択による高精度色補正 :
画像処理パイプラインの構築を目指して スライド
High Accuracy Color Correction by Optimal Level Correction
and Geometric Model Selection: Toward Construction of Image Processing Pipeline
Decoding Kotlin - Your Guide to Solving the Mysterious in Kotlin - Devoxx PL ...Jo?o Esperancinha
?
Kotlin can be very handy and easy to use. Kotlin offers the possibility to develop code that is easy to understand, safe, immutable, and thus predictable and follows standards that avoid side effects. I realized that very quickly after I started my Kotlin journey that already amounts to more than 5 years.
This is the third version of this presentation focused on more detail explaining inline, crossinline, tailrec and as a bonus a quick run through unnamed classes.
Rigor, ethics, wellbeing and resilience in the ICT doctoral journeyYannis
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The doctoral thesis trajectory has been often characterized as a “long and windy road” or a journey to “Ithaka”, suggesting the promises and challenges of this journey of initiation to research. The doctoral candidates need to complete such journey (i) preserving and even enhancing their wellbeing, (ii) overcoming the many challenges through resilience, while keeping (iii) high standards of ethics and (iv) scientific rigor. This talk will provide?a personal account of lessons learnt and recommendations from a senior researcher over his 30+ years of doctoral supervision and care for doctoral students. Specific attention will be paid on the special features of the (i) interdisciplinary doctoral research that involves Information and Communications Technologies (ICT) and other scientific traditions, and (ii) the challenges faced in the complex technological and research landscape dominated by Artificial Intelligence.
Low Power SI Class E Power Amplifier and Rf Switch for Health Careieijjournal
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This research was to design a 2.4 GHz class E Power Amplifier (PA) for health care, with 0.18um Semiconductor Manufacturing International Corporation CMOS technology by using Cadence software. And also RF switch was designed at cadence software with power Jazz 180nm SOI process. The ultimate goal for such application is to reach high performance and low cost, and between high performance and low power consumption design. This paper introduces the design of a 2.4GHz class E power amplifier and RF switch design. PA consists of cascade stage with negative capacitance. This power amplifier can transmit 16dBm output power to a 50? load. The performance of the power amplifier and switch meet the specification requirements of the desired.
David Boutry - Mentors Junior DevelopersDavid Boutry
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David Boutry is a Senior Software Engineer in New York with expertise in high-performance data processing and cloud technologies like AWS and Kubernetes. With over eight years in the field, he has led projects that improved system scalability and reduced processing times by 40%. He actively mentors aspiring developers and holds certifications in AWS, Scrum, and Azure.
Deep Learning for Natural Language Processing_FDP on 16 June 2025 MITS.pptxresming1
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This gives an introduction to how NLP has evolved from the time of World War II till this date through the advances in approaches, architectures and word representations. From rule based approaches, it advanced to statistical approaches. from traditional machine learning algorithms it advanced to deep neural network architectures. Deep neural architectures include recurrent neural networks, long short term memory, gated recurrent units, seq2seq models, encoder decoder models, transformer architecture, upto large language models and vision language models which are multimodal in nature.
Impurities of Water and their Significance.pptxdhanashree78
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Impart Taste, Odour, Colour, and Turbidity to water.
Presence of organic matter or industrial wastes or microorganisms (algae) imparts taste and odour to water.
Presence of suspended and colloidal matter imparts turbidity to water.
Understanding Amplitude Modulation : A GuideCircuitDigest
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Discover how amplitude modulation works through a detailed guide covering its principles, waveform behavior, and hands-on AM circuit demo using simple electronic components. Great for students and RF beginners.
Read more : https://circuitdigest.com/electronic-circuits/what-is-amplitude-modulation-complete-guide-formula-circuit-diagram-practical-demonstration