You are currently viewing a new version of our website. To view the old version click .

Sensors, Volume 24, Issue 23

December-1 2024 - 457 articles

  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Cover Story: One of the fundamental factors determining a sensor’s ability to capture high-resolution images is its efficiency in focusing visible light onto the photosensitive region at the submicron scale. In most CMOS imaging technologies, this is typically achieved through using microlenses. Light collection under a diverse range of conditions can be significantly improved through the efficient design of microlenses. In this paper, we present a systematic approach to optimize the shape of CMOS microlenses through adjoint sensitivity analysis. A novel figure of merit is developed and incorporated into the optimization process to enhance light collection. The adjoint-assisted optimization framework presented here can be used further to accelerate the development of efficient optical devices that perform optical manipulation in compact imaging systems. View this paper

Articles (457)

  • Article
  • Open Access
3 Citations
2,996 Views
26 Pages

Plant Stress Detection Using a Three-Dimensional Analysis from a Single RGB Image

  • Madaín Pérez-Patricio,
  • J. A. de Jesús Osuna-Coutiño,
  • German Ríos-Toledo,
  • Abiel Aguilar-González,
  • J. L. Camas-Anzueto,
  • N. A. Morales-Navarro,
  • J. Renán Velázquez-González and
  • Luis Ángel Cundapí-López

9 December 2024

Plant stress detection involves the process of Identification, Classification, Quantification, and Prediction (ICQP) in crop stress. Numerous approaches exist for plant stress identification; however, a majority rely on expert personnel or invasive t...

  • Article
  • Open Access
1 Citations
1,286 Views
20 Pages

9 December 2024

Accurate classification of three-dimensional (3D) point clouds in real-world environments is often impeded by sensor noise, occlusions, and incomplete data. To overcome these challenges, we propose SMCNet, a robust multimodal framework for 3D point c...

  • Article
  • Open Access
1 Citations
937 Views
24 Pages

9 December 2024

Unmanned Aerial Vehicles (UAVs) have become essential tools across various sectors due to their versatility and advanced capabilities in autonomy, perception, and networking. Despite over a decade of experimental efforts in multi-UAV systems, substan...

  • Article
  • Open Access
7 Citations
2,185 Views
36 Pages

9 December 2024

Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning models to enhance crop yield and nutrition. Tomato (Solanum lycopersicum), a vegetable crop, frequently suffers from pest damage and drought, leading to...

  • Article
  • Open Access
1,235 Views
19 Pages

A Hierarchical-Based Learning Approach for Multi-Action Intent Recognition

  • David Hollinger,
  • Ryan S. Pollard,
  • Mark C. Schall,
  • Howard Chen and
  • Michael Zabala

9 December 2024

Recent applications of wearable inertial measurement units (IMUs) for predicting human movement have often entailed estimating action-level (e.g., walking, running, jumping) and joint-level (e.g., ankle plantarflexion angle) motion. Although action-l...

  • Article
  • Open Access
1,128 Views
19 Pages

9 December 2024

Evaluating students’ learning effectiveness is of great importance for gaining a deeper understanding of the learning process, accurately diagnosing learning barriers, and developing effective teaching strategies. Emotion, as a key factor influ...

  • Review
  • Open Access
3 Citations
1,507 Views
21 Pages

Tackling Heterogeneous Light Detection and Ranging-Camera Alignment Challenges in Dynamic Environments: A Review for Object Detection

  • Yujing Wang,
  • Abdul Hadi Abd Rahman,
  • Fadilla ’Atyka Nor Rashid and
  • Mohamad Khairulamirin Md Razali

9 December 2024

Object detection is an essential computer vision task that identifies and locates objects within images or videos and is crucial for applications such as autonomous driving, robotics, and augmented reality. Light Detection and Ranging (LiDAR) and cam...

  • Article
  • Open Access
1 Citations
1,209 Views
20 Pages

9 December 2024

With the development of smart technology and the increasing variety of everyday products, factors influencing product service touchpoint design have become more diverse and complex. Existing service touchpoint design methods and models often focus na...

  • Article
  • Open Access
3 Citations
2,695 Views
10 Pages

Wearable Surface Electromyography System to Predict Freeze of Gait in Parkinson’s Disease Patients

  • Anna Moore,
  • Jinxing Li,
  • Christopher H. Contag,
  • Luke J. Currano,
  • Connor O. Pyles,
  • David A. Hinkle and
  • Vivek Shinde Patil

9 December 2024

Freezing of gait (FOG) is a disabling yet poorly understood paroxysmal gait disorder affecting the vast majority of patients with Parkinson’s disease (PD) as they reach advanced stages of the disorder. Falling is one of the most disabling conse...

  • Article
  • Open Access
1,185 Views
22 Pages

8 December 2024

This study aimed to investigate the drilling signal characteristics when a PDC drill bit penetrates media of different strengths and to assess the potential of these signals for identifying weak layers within rock formations. Laboratory-scale experim...

of 46