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Polymer Classification: Architecture01:14

Polymer Classification: Architecture

3.9K
Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...
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The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

56.1K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
56.1K
Introduction to Special Senses01:26

Introduction to Special Senses

7.6K
Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive...
7.6K
Force Classification01:22

Force Classification

2.4K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.4K
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

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Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
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Classification of Leukocytes01:30

Classification of Leukocytes

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Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
6.1K

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Updated: Feb 11, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

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リモートセンシング画像におけるカスタムディープCNNアーキテクチャを用いた高性能シーン分類

Ahmed M Abdelmonem1, Mohamed Maher Ata2, Abdelhamied A Atey3

  • 1Department of Electronics and Communications Engineering, Zagazig University, Zagazig, 44519, Egypt.

Scientific reports
|February 9, 2026
PubMed
まとめ

新しい畳み込みニューラルネットワーク(CNN)アーキテクチャは、リモートセンシング画像分類において優れた性能を発揮します。この効率的なモデルは高い精度を達成し、理解を深めるための説明可能性技術を組み込んでいます。

科学分野:

  • コンピュータビジョン
キーワード:
深層畳み込みニューラルネットワーク多クラス画像認識リモートセンシング画像シーン分類

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Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing
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Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing

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Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
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Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

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関連する実験動画

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Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing
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Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing

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Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
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Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

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  • リモートセンシング
  • 機械学習
  • 背景:

    • 正確な多クラス画像分類は、リモートセンシングデータ分析にとって非常に重要です。
    • 既存の畳み込みニューラルネットワーク(CNN)モデルは、これらのタスクにおける精度、効率、および解釈可能性のバランスをとる上で課題に直面しています。

    結論:

    • 新規CNNアーキテクチャは、パフォーマンス、効率、および解釈可能性のバランスを取りながら、リモートセンシング画像理解のための説得力のあるソリューションを提供します。
    • 統合された説明可能性技術(SHAP、CAM)は、モデルの信頼性を高めます。
    • さまざまなデータセットにわたるモデルの一般化能力は、さまざまなリモートセンシングアプリケーションに対するその堅牢性を確認します。