Abstract: A content-based image retrieval (CBIR) system that is applied to blood smear images diagnoses whether sickle cell disease is present. Deep Learning (DL) based Convolutional Neural Networks (CNNs) are designed to recognize visual patterns directly from image pixels with minimal preprocessing. Using pre-trained CNNs as a feature extractor provides an alternative to the handcrafted features that are not manually engineered from raw pixel data in general machine learning (ML) classifiers. The invention relies on extracting features from blood smear images by applying Deep Transfer Learning with three pre-trained models: ResNet-50, Inception V3, and VGG16 using Python with OpenCV and Keras libraries.

Abstract: Disclosed is a content-based image retrieval (CBIR) system and related methods that serve as a diagnostic aid for diagnosing whether a dermoscopic image correlates to a skin cancer type. Systems and methods according to aspects of the invention use as a reference a set of images of pathologically confirmed benign or malignant past cases from a collection of different classes that are of high similarity to the unknown new case in question, along with their diagnostic profiles. Systems and methods according to aspects of the invention predict what class of skin cancer is associated with a particular patient skin lesion, and may be employed as a diagnostic aid for general practitioners and dermatologists.

Abstract: Disclosed is a content-based image retrieval (CBIR) system and related methods that serve as a diagnostic aid for diagnosing whether a dermoscopic image correlates to a skin cancer type. Systems and methods according to aspects of the invention use as a reference a set of images of pathologically confirmed benign or malignant past cases from a collection of different classes that are of high similarity to the unknown new case in question, along with their diagnostic profiles. Systems and methods according to aspects of the invention predict what class of skin cancer is associated with a particular patient skin lesion, and may be employed as a diagnostic aid for general practitioners and dermatologists.

Abstract: Techniques for performing inter-frequency handoff in a wireless communication network are described. An access terminal may acquire a first sector on a first frequency (e.g., at power up), receive an overhead message from the first sector, obtain neighbor list information from the overhead message, and store this information. The access terminal may be directed from the first frequency to a second frequency, e.g., to balance network load. The access terminal may perform handoff to a second sector on the second frequency. This handoff may be unsuccessful if the access terminal is within the coverage of the first sector but outside the coverage of the second sector, even though the two sectors may be co-located. If the handoff is unsuccessful, then the access terminal may determine a neighbor sector based on the stored neighbor list information, then attempt acquisition of the neighbor sector, and perform handoff to the neighbor sector if acquired.

Abstract: Provided is an apparatus for controlling interference. The apparatus may receive interference information about at least one subchannel which is allocated to at least one node in an OFDMA system. The apparatus may create an interference list using the interference information. The apparatus may report the interference list to a radio network controller (RNC).

Abstract: An apparatus for allocating subchannels is provided. The apparatus includes: a subchannel allocation coefficient determination unit determining a subchannel allocation coefficient using a queue length of at least one terminal and a signal to interference plus noise ratio (SINR) of the at least one terminal and at least one relay station in an Orthogonal Frequency Division Multiple Access (OFDMA) system; and a subchannel allocation unit allocating a subchannel to at least one link formed in the OFDMA system using the subchannel allocation coefficient.

Abstract: Techniques for performing inter-frequency handoff in a wireless communication network are described. An access terminal may acquire a first sector on a first frequency (e.g., at power up), receive an overhead message from the first sector, obtain neighbor list information from the overhead message, and store this information. The access terminal may be directed from the first frequency to a second frequency, e.g., to balance network load. The access terminal may perform handoff to a second sector on the second frequency. This handoff may be unsuccessful if the access terminal is within the coverage of the first sector but outside the coverage of the second sector, even though the two sectors may be co-located. If the handoff is unsuccessful, then the access terminal may determine a neighbor sector based on the stored neighbor list information, then attempt acquisition of the neighbor sector, and perform handoff to the neighbor sector if acquired.