TS-072321 — The Need Current virtual and augmented reality (VR/AR) platforms lack integration of gustatory (taste) sensations, limiting user immersion and sensory engagement. Existing human-machine interfaces focus primarily on visual, auditory, and haptic feedback, neglecting the chemical dimension of taste. T…

TS-072320 — The Need Current biofuel cell sensors suffer from poor selectivity and accuracy due to fluctuations in ionic strength and pH at the sensing interface. These environmental changes can significantly interfere with sensor readings, limiting reliability in medical diagnostics, energy generation, and env…

TS-072319 — The Need Current methods for mapping electrical potential gradients in biological tissues, such as the brain, rely on high-density electrode arrays fabricated via costly microfabrication techniques. These rigid devices struggle to conform to complex tissue morphologies, limiting their effectiveness …

TS-072175 — The Need Modern industrial and energy systems are increasingly complex, making timely fault detection and discrimination critical for safety, reliability, and cost control. Existing fault diagnosis methods often struggle with transient states, require extensive historical data, or lack interpretabil…

TS-072052 — The Need Current wearable sensors for muscle health are limited in their ability to track real-time geometric changes in muscle size and shape, especially outside controlled laboratory environments. Existing solutions, such as force myography and ultrasound, either lack direct geometric insight or a…

TS-071847 — The Need Current fast neutron detection technologies suffer from inherently low sensitivity due to the limited interaction cross-section between neutrons and atomic nuclei. This restricts their effectiveness in critical applications such as nuclear security, radiation dosimetry, and advanced imaging…

TS-071747 — The Need High-accuracy 3D depth perception is critical for autonomous systems, but current stereo camera methods falter in complex outdoor environments. While LiDAR can improve accuracy, its effectiveness plummets when using sparse data from affordable, lower-beam sensors, making high performance …

TS-071414 — The Need Current neurochemical monitoring technologies are limited by bulky form factors, complex fabrication, and invasiveness, which restrict their clinical and research utility. Existing sensors often cause tissue damage, lack real-time resolution, and are costly to manufacture, impeding widespre…

TS-070304 — The Need Current clinical methods for assessing tremor severity in patients with Parkinson’s disease and other movement disorders rely heavily on subjective, qualitative observations, such as evaluating hand-drawn spirals or observing motor tasks. These approaches lack precision, are difficult…

TS-068476 — The Need Modern wireless networks, including 5G and future 6G systems, rely heavily on accurate channel prediction to ensure efficient and reliable communication. Frequency Domain Duplexing (FDD) systems face challenges in accurately predicting downlink channels from uplink channels, particularly in…