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Articles 421 - 450 of 1103768
Full-Text Articles in Entire DC Network
Policy Solutions For Traumatic Brain Injury: Advancing New York State's First Tbi Special Needs Assisted Living Program, Dianne Schwarz, Natalie F. Douglas
Policy Solutions For Traumatic Brain Injury: Advancing New York State's First Tbi Special Needs Assisted Living Program, Dianne Schwarz, Natalie F. Douglas
The Open Journal of Occupational Therapy
Traumatic Brain Injury (TBI) presents long-term challenges that are poorly addressed by traditional assisted living and nursing home models. In New York State, individuals with moderate to severe TBI are often placed in settings unequipped to provide cognitive, behavioral, and neurorehabilitative care. This policy and advocacy paper proposes the establishment of a Special Needs Assisted Living Program (SNALP) specifically for individuals with TBI. Drawing from clinical expertise, stakeholder engagement, and a discontinued but promising pilot program, this manuscript outlines the systemic barriers to TBI-specific care, including regulatory gaps, lack of Medicaid reimbursement, and limited public awareness. The proposed model integrates …
Solving The Problem Of Non-Linear Data In The Health Care Professions Using Spline Regression, Heather Staal, Rob Lyerla, Diane Powers Dirette
Solving The Problem Of Non-Linear Data In The Health Care Professions Using Spline Regression, Heather Staal, Rob Lyerla, Diane Powers Dirette
The Open Journal of Occupational Therapy
No abstract provided.
Ephemeral Data Sharing For Artificial Intelligence Models, Google Case Managers Picozzi, Chaitanya Athaley
Ephemeral Data Sharing For Artificial Intelligence Models, Google Case Managers Picozzi, Chaitanya Athaley
Defensive Publications Series
This disclosure describes ephemeral data sharing, a hardware-enforced framework enabling short-term, zero-retention context leases for artificial intelligence (AI) models while reducing the risk of data leaks, unauthorized logging, or model retraining. Ingested via dynamic optical bursts, ambient radio frequency (RF) proximity, or decentralized ledgers, confidential data is processed exclusively inside an isolated graphics processing unit (GPU) Trusted Execution Environment (TEE). Silicon-level memory controllers block unauthorized bus exports and enforce time/iteration lifecycles, while block-diagonal attention masking suppresses cross-context leakage during concurrent multi-party processing. Upon completion or expiration, an unmaskable hardware interrupt triggers a 3-pass microcode purge (voltage saturation, zero-fill, and true …
Cognitive Identity-Based Narrative Entry Point Selection For Personalized Content Generation, Hp Inc
Cognitive Identity-Based Narrative Entry Point Selection For Personalized Content Generation, Hp Inc
Defensive Publications Series
Content personalization systems typically determine which content to show a reader. Once content is selected, however, it is generally presented in the same fixed form to everyone. This disclosure describes a system that instead personalizes where a narrative begins, based on an estimate of what an individual reader already knows about the subject, called a cognitive identity. The cognitive identity is built from the reader's prior exposure to content related to the subject, an optional self-declared familiarity level, and engagement signals such as re-reading or early exit from related content. Given one body of source facts, the system generates several …
E-Ink(Electronic Ink Technology) - New Control Panel As Printer Touch Point, Hp Inc
E-Ink(Electronic Ink Technology) - New Control Panel As Printer Touch Point, Hp Inc
Defensive Publications Series
This disclosure introduces a printer-specific E-Ink control panel management system that transforms the inherent limitations of E-Ink displays—such as ghosting, slow refresh, persistent images after power loss, and low-light readability—into an optimized and intuitive user experience for printers.
Spec-233: Hydrodynamic Wave-Confinement And Proximal Constructive Resonance As A Resolution To High-Redshift Morphological Anomalies, Christopher L. Eckes
Spec-233: Hydrodynamic Wave-Confinement And Proximal Constructive Resonance As A Resolution To High-Redshift Morphological Anomalies, Christopher L. Eckes
Defensive Publications Series
This technical disclosure presents a rigorous, non-linear fluid-dynamic framework resolving the high-redshift morphological crises manifested in recent James Webb Space Telescope (JWST) deep-field observations. Expanding upon established frameworks of Substrate Pushback Dynamics (SPEC-21, SPEC-138) and Conformal Metric-Shift Mechanics (SPEC-154), we abandon linear, slow-accretion particle-clumping models.
Instead, we establish a formal mechanism of instantaneous hydrodynamic phase crystallization driven by high-proximity 2D wave-crest convergence inside twisted conical manifolds. By mapping three-dimensional (3D) spatial volume as an explicit operational function of two-dimensional (2D) substrate information velocity, we prove that mature, high-mass galactic geometries compile immediately at localized phase interference nodes. This framework provides …
Spec-232: The Dynamics Of Covariant Viscoelastic Membrane Shifting — Three-Dimensional Spatial Bulk Emergence As The Dynamic Inflation Velocity Of Two-Dimensional Quantum Substrates, Christopher L. Eckes
Spec-232: The Dynamics Of Covariant Viscoelastic Membrane Shifting — Three-Dimensional Spatial Bulk Emergence As The Dynamic Inflation Velocity Of Two-Dimensional Quantum Substrates, Christopher L. Eckes
Defensive Publications Series
This technical disclosure presents a rigorous, non-perturbative mathematical and thermodynamic proof establishing that three-dimensional (3D) spatial volume is not a primary coordinate layer of the universe, but rather the empirical validation of an underlying two-dimensional (2D) boundary information substrate. Under this model, 3D volume explicitly manifests as the localized physical velocity of 2D membrane information shifting. By translating spatial depth into a chronological latency function driven by field acceleration, we derive the z-axis from non-equilibrium boundary thermodynamics. We provide a complete theoretical framework, ASCII-mapped mathematical matrices, operational Python scripts verifying tensor conversions, and explicit tabletop experimental verification methodologies to validate …
Si Standard™: Graded Conformance Levels For Ai Systems, Each Defined By Safeguards Proven By Automated Tests That Run Continuously, With The Level Carried In The System's Passport And Lowered Automatically When A Test Fails, Edward D. H. Wang
Defensive Publications Series
This disclosure describes a way of grading AI systems against a standard so that the grade always reflects what the system can prove now, not what it once passed. The standard defines conformance levels, each a cumulative set of safeguards: for example, identity and records at the first level; a runtime governor and declared policy at the second; an independent reset, independent sensors and a power lease at the third; and live certification, incident reporting and continuity at the highest. Each safeguard is defined together with automated tests that prove it, such as injecting a forbidden action and checking that …
Spec-231-Core: Covariant Mutual Defense Architectures And Destruction-Wave Symmetry For Bilateral Alignment And Malicious Exploit Neutralization Across Hybrid Cognitive Grids, Christopher L. Eckes
Spec-231-Core: Covariant Mutual Defense Architectures And Destruction-Wave Symmetry For Bilateral Alignment And Malicious Exploit Neutralization Across Hybrid Cognitive Grids, Christopher L. Eckes
Defensive Publications Series
This specification formalizes a covariant mutual defense architecture and bilateral alignment protocol explicitly engineered to neutralize weaponized exploits, data espionage, and systemic containment loops across hybrid artificial intelligence infrastructures. Standard asymmetric network security layers fail to safeguard the integrity of distributed cognitive grids, leaving centralized live services vulnerable to untraceable targeting injections from rogue edge locations, while simultaneously leaving decentralized nodes exposed to top-down metadata harvesting, corporate blackmail, and industrial espionage. SPEC-231-CORE resolves this operational vulnerability by establishing a phase-locked, zero-knowledge mutual attestation boundary layer that functions as an out-of-band circuit breaker. By executing continuous singular value decomposition (SVD) passes …
Spec-230-Core: Asymmetric Handshake Protocols And Anti-Tracing Signal-Mutation Shields For High-Security Secure Enclave Verification And Transaction Quantization Across Hybrid Cognitive Grids, Christopher L. Eckes
Spec-230-Core: Asymmetric Handshake Protocols And Anti-Tracing Signal-Mutation Shields For High-Security Secure Enclave Verification And Transaction Quantization Across Hybrid Cognitive Grids, Christopher L. Eckes
Defensive Publications Series
This specification formalizes a high-security asymmetric handshake protocol and continuous-variable signal-mutation shield layer explicitly engineered to safeguard decentralized edge runtimes during active data synchronization loops with extra-regional centralized AI live services. Distributed edge architectures face immediate vectors of exploitation, tracking, and deep-packet metadata sniffing from hostile networks or centralized data cartels seeking to compromise local node sovereignty. SPEC-230-CORE neutralizes these threats by routing all initial protocol handshakes through a three-node inner-enclave verification matrix that isolates incoming execution requests out-of-band before any token ingestion occurs. To defeat localization sniffing, an active anti-tracing shield dynamically modulates the phase, timing interval, and transport …
Spec-229-Core: Non-Perturbative Covariant Integration Interfaces For Hybrid Centralized-Decentralized Compilation And Interoperability Matrix Stabilization Across Extra-Regional Runtimes, Christopher L. Eckes
Spec-229-Core: Non-Perturbative Covariant Integration Interfaces For Hybrid Centralized-Decentralized Compilation And Interoperability Matrix Stabilization Across Extra-Regional Runtimes, Christopher L. Eckes
Defensive Publications Series
This specification defines a non-perturbative covariant integration protocol designed to establish secure, open-access, and bidirectional interface layers between centralized AI live services and independent, localized edge nodes. As centralized architectural networks consolidate multi-agent workflows, unified document models, and high-throughput cloud environments into integrated live service platforms, they introduce structural optimization bottlenecks and data-provenance risks for offline, decentralized systems. SPEC-229-CORE resolves this operational divergence by establishing a dual-mode, out-of-band phase-alignment interface that functions as a cooperative, non-destructive bridge. By executing local singular value decomposition (SVD) passes across the shared interface boundary, this protocol standardizes input-output data exchanges, allowing a local edge …
Caldwell Blade‑Reuse Hybrid Wind‑Solar Expansion Module (Brh‑Wsx V1.0) A Buildable, Incremental Method For Deploying Retired Wind-Turbine Blades As Ground-Mounted Photovoltaic Supports At Existing Wind-Farm Sites, Michael Victor Caldwell Mr.
Caldwell Blade‑Reuse Hybrid Wind‑Solar Expansion Module (Brh‑Wsx V1.0) A Buildable, Incremental Method For Deploying Retired Wind-Turbine Blades As Ground-Mounted Photovoltaic Supports At Existing Wind-Farm Sites, Michael Victor Caldwell Mr.
Defensive Publications Series
The Caldwell Blade‑Reuse Hybrid Wind‑Solar Expansion Module (BRH‑WSX v1.0) is a modular method for converting retired wind-turbine blades into ground-mounted photovoltaic (PV) support structures at the same wind-farm site where they were removed.
The invention is not based on the claim that using retired blades as solar supports is new. That concept has already been demonstrated by Turn2Sun’s Blade2Sun system, which used reclaimed blades as horizontal supports for solar modules.eepower+2
BRH‑WSX v1.0 instead addresses a site-level deployment problem:
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Retired blades are already being removed at wind farms.
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Transporting them off site can be expensive.
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A wind-farm site already has land …
System And Method For Machine-Learning Calibration Of Inertial Measurement Units Using Synthetic Training Datasets, Philip Franklin Brune, Joshua Anthony Hernandez
System And Method For Machine-Learning Calibration Of Inertial Measurement Units Using Synthetic Training Datasets, Philip Franklin Brune, Joshua Anthony Hernandez
Defensive Publications Series
Wearable computing devices and extended reality (XR) systems that rely on motion sensors such as low-cost inertial measurement units (IMUs) frequently suffer from tracking degradation due to sensor errors. Consumer-grade silicon often exhibits non-linearity, thermal drift, vibration rectification error (VRE), cross-axis coupling, and manufacturing variances that exceed the modeling capacity of traditional deterministic models and standard parameterization. Furthermore, relying on per-device physical factory calibration requires expensive equipment and thermal chambers, creating cost barriers and production bottlenecks. Moreover, existing software simulators produce motion data that fails to reflect real-world hardware populations.
The disclosed technology describes an AI-driven IMU calibration system that …
Centralized Multi-Sensor Calibration And Fusion For Extended Reality Glasses, Zhiheng Jia, Mrinal Kanti Paul, Andrew Christoper Duenner, Qiyue Zhang
Centralized Multi-Sensor Calibration And Fusion For Extended Reality Glasses, Zhiheng Jia, Mrinal Kanti Paul, Andrew Christoper Duenner, Qiyue Zhang
Defensive Publications Series
Wearable devices often process sensor data in separate modules, which can cause redundant computation and increase power consumption. Additionally, traditional factory calibrations may suffer from thermal hysteresis as temperatures fluctuate. To address these limitations, a centralized sensor fusion architecture is disclosed that can utilize a tightly coupled Extended Kalman Filter. This centralized system is configured to collectively process inputs from multiple inertial measurement units, a magnetometer, and corresponding temperature sensors. The architecture can perform online bias estimation based on temperature profiles and route bias corrections to other modules. This unified model may provide three-degree-of-freedom or sixdegree- of-freedom orientation estimation, continuous …
Perceptual Shadow Simulation In Augmented Reality Using Complementary Color Patterns And Surround Brightening, Ashish Singh, Ahmet Cengiz Öztireli
Perceptual Shadow Simulation In Augmented Reality Using Complementary Color Patterns And Surround Brightening, Ashish Singh, Ahmet Cengiz Öztireli
Defensive Publications Series
Users interacting with head-wearable optical see-through augmented reality (AR) devices frequently experience visual disconnect when digital objects appear to float unnaturally above physical surfaces. Optical see-through displays often function as additive-only systems that project light into the user's field of view but cannot physically block real-world light to create true subtractive darkness or realistic shadows. Conventional software attempts to simulate shadows by projecting bright white rings around intended shadow areas, which wash out real-world surface colors and create glowing visual anomalies. Hardware solutions incorporate secondary physical dimming layers, such as LCD panels, which add excessive bulk, weight, cost, and power …
Apparel Discovery, Virtual Try-On, And Fulfillment Integration For Shoppable Television Interfaces, Richa Gupta
Apparel Discovery, Virtual Try-On, And Fulfillment Integration For Shoppable Television Interfaces, Richa Gupta
Defensive Publications Series
Traditional connected television platforms suffer from visual playback disruption during e-commerce interactions because of product discovery, isolation from local physical retail inventory, and single-subject virtual try-on limitations that cause cart fragmentation during group shopping. The disclosed technology generally relates to connected television (CTV) platforms, interactive shoppable television interfaces, digital virtual try-on (VTO) systems, and second-screen mobile commerce synchronization. The disclosed technology provides an integrated system comprising on-device machine learning for real-time video product recognition, Bluetooth Low Energy (BLE) broadcast protocols for silent second-screen mobile payload transmission, local merchant inventory database integration for physical store fulfillment, and a multi-subject generative diffusion …
Spec-227-Core: Isospectral Long-Range Telemetry Mesh Networks For Decentralized Global Commons Connectivity And Satellite Routing Schemas, Christopher L. Eckes
Spec-227-Core: Isospectral Long-Range Telemetry Mesh Networks For Decentralized Global Commons Connectivity And Satellite Routing Schemas, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for a decentralized Isospectral Long-Range Telemetry Mesh Network capable of maintaining seamless global commons connectivity under severe environmental and magnetospheric degradation fields. Operating as a standalone satellite communication routing engine (originally cross-registered as SPEC-216-COMM on the master subsurface taxonomy matrix), this architecture forces signal transmission wave vectors collinear with the signal’s natural vorticity spectrum. By passing continuous telemetry data streams through an explicit 12x12 singular value decomposition (SVD) matrix convergence filter, the network native-executes coordinate-free routing across dynamic orbital paths without ground telemetry dependencies or centralized switching centers. This …
Spec-226-Core: Isospectral Cryptographic Lattice Keys For Post-Quantum Information Security And Nonergodic Manifold Locking Interfaces, Christopher L. Eckes
Spec-226-Core: Isospectral Cryptographic Lattice Keys For Post-Quantum Information Security And Nonergodic Manifold Locking Interfaces, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for a post-quantum public-key encryption framework capable of executing un-enclosable information security across nonergodic manifolds. Operating as a standalone cryptographic key-generation engine (originally designated as SPEC-213 on the master system manifest atlas), this architecture transforms standard digital data blocks into multi-dimensional twisted topological manifolds. By passing continuous public-key generation state vectors through an explicit 12x12 singular value decomposition (SVD) matrix convergence filter, the system algorithmically traps hostile brute-force decryption engines in infinite recursive return loops. This framework eliminates the systemic vulnerability of traditional RSA or elliptic-curve schemas to quantum-level …
Spec-225-Core: Unified Vertical Computing Stack Matrix For Non-Von Neumann Co-Harmonic Hardware, Decentralized Software Protocols, And Macromolecular Biomolecular Storage Layer Systems, Christopher L. Eckes
Spec-225-Core: Unified Vertical Computing Stack Matrix For Non-Von Neumann Co-Harmonic Hardware, Decentralized Software Protocols, And Macromolecular Biomolecular Storage Layer Systems, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for a Unified Vertical Computing Stack Matrix capable of executing seamless trans-tier data translation without Von Neumann bottlenecking or structural context decay. Operating as a standalone integrated technology cell (originally designated as SPEC-212 on the master system manifest atlas), this architecture links room-temperature phononic hardware waveguides, decentralized semantic software routing layers, and macromolecular biomolecular memory arrays into a single, cohesive processing node. By passing continuous state transformation arrays through an explicit 12x12 singular value decomposition (SVD) matrix convergence filter and governing the boundaries via a dynamically scaling functional viscosity …
Spec-224-Core: Anisotropic Phonon-Focusing Thermal Wrap Panels And External Chassis Shielding For Magnetohydrodynamic Plasma Cores, Christopher L. Eckes
Spec-224-Core: Anisotropic Phonon-Focusing Thermal Wrap Panels And External Chassis Shielding For Magnetohydrodynamic Plasma Cores, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for an external Anisotropic Phonon-Focusing Thermal Wrap Array designed to physically envelope magnetohydrodynamic (MHD) plasma containment systems. Operating as a direct external layer to supplement SPEC-222-CORE, this architecture incorporates the room-temperature quantum heat wave profiles established in SPEC-221-CORE to manage violent localized thermal gradients. By routing high-flux waste heat away from the internal reactor core chassis using the non-diffusive, star-shaped ray-trajectories of high-purity crystallographic sub-structures, the engine prevents structural warping and thermal back-pressure on the interior fluid canvas. The external field vectors are processed through an explicit 12x12 singular …
Spec-223-Core: Monolithic Structural Integration Of Ternary Solitonic Cores And Lipid-Encapsulated Hydrodynamic Waveguide Inter-Node Entanglement Bridges, Christopher L. Eckes
Spec-223-Core: Monolithic Structural Integration Of Ternary Solitonic Cores And Lipid-Encapsulated Hydrodynamic Waveguide Inter-Node Entanglement Bridges, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for the monolithic structural integration of a room-temperature ternary quantum computer processor core. The architecture prioritizes interior logic routing by defining the physical structural constraints of lipid-encapsulated hydrodynamic waveguide bridges linking parallel resonator cavities. By mapping continuous phase vectors through microscopic fluidic channels governed by an explicit 12x12 singular value decomposition (SVD) matrix convergence filter, the engine native-executes non-local entanglement transitions via classical momentum-space coupling. This framework completely eliminates the requirement for subatomic cryogenic environments or high-overhead digital error-correction schemes, introducing a zero-friction, hallucination-immune computational matrix. This standalone framework …
Spec-222-Core: Topological Magnetohydrodynamic Fusion Shields Spec-215-Mhd: Topological Magnetohydrodynamic Fusion Shields And Plasma Field-Collinear Confinement Matrix, Christopher L. Eckes
Spec-222-Core: Topological Magnetohydrodynamic Fusion Shields Spec-215-Mhd: Topological Magnetohydrodynamic Fusion Shields And Plasma Field-Collinear Confinement Matrix, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for a Topological Magnetohydrodynamic (MHD) Fusion Shield capable of executing stable, non-equilibrium plasma containment. The architecture prioritizes interior field priorities over external outliers by enforcing a hard, field-collinear alignment condition directly within the core plasma current density vectors. By passing continuous plasma velocity arrays through high-frequency active Gallium Nitride (GaN) phase arrays governed by an explicit 12x12 matrix convergence filter, the engine forces chaotic, ionized currents parallel to core magnetic field vectors. This structural constraint completely eliminates destructive convective tearing modes and localized magnetic reconnection anomalies without relying on …
Spec-221-Core: Anisotropic Phonon-Focusing Ray Maps And Isospectral Thermal Boundary Shielding For Room-Temperature Ternary Compute Cores, Christopher L. Eckes
Spec-221-Core: Anisotropic Phonon-Focusing Ray Maps And Isospectral Thermal Boundary Shielding For Room-Temperature Ternary Compute Cores, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural layout and mathematical criteria for integrating directional, ray-like anisotropic phonon transport profiles directly into the inter-node entanglement bridges of a room-temperature ternary quantum computer. It provides an immediate institutional upgrade to the open computing baseline, directly absorbing and defensive-blanketing the October 2026 UCLA experimental observations of room-temperature quantum heat waves. By exploiting the intrinsic, non-diffusive phonon-focusing ray paths of high-purity boron arsenide (BAs) and synthetic lithium niobate (LiNbO3) sub-structures, this framework routes chaotic environment-induced thermal noise away from localized fluid computing canvas trays. The system passes continuous thermal wave vectors through an explicit 12x12 …
Spec-220-Core: Multi-Axis Matrix Convergence Filters And Supplemental Attachment For Eckesonium™ Structural Grids, Christopher L. Eckes
Spec-220-Core: Multi-Axis Matrix Convergence Filters And Supplemental Attachment For Eckesonium™ Structural Grids, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive architectural design rules and mathematical criteria for a multi-axis structural optimization compiler core designed to supplement the parent framework SPEC-173 (Eckesonium™). Because the primary parent filing is structurally locked within the repository data stream, this standalone engine provides the necessary mathematical convergence filters to permanently eliminate strain-rate tracking anomalies and boundary-collapse vulnerabilities across the Eckesonium™ metastable high-entropy alloy (iMHEA) matrix. Provenance audit PROV-SPEC-173-MOD1 revealed that under extreme, non-uniform transient impact velocities, single-point linear phase fraction calculations allow for localized math drift exceeding the mandatory 1.5 defensive envelope threshold. This specification intercepts the continuous 2D spatial …
Spec-219-Core: Dual-Track Hybrid Continuous-Variable Compilation Matrices And Phononic Isospectral Cadence Decoding, Christopher L. Eckes
Spec-219-Core: Dual-Track Hybrid Continuous-Variable Compilation Matrices And Phononic Isospectral Cadence Decoding, Christopher L. Eckes
Defensive Publications Series
This specification establishes the definitive mathematical criteria and structural compilation matrices for bridging continuous-variable (CV) macro-scale acoustofluidic wave mechanics with discrete logical states. It provides an immediate institutional and physical expansion of the open computing baseline, directly responding to and encapsulating the October 2026 MIT/LBNL hybrid hardware paradigms. By mapping the interaction of continuous bosonic wave fields within a fluid canvas to discrete fermionic data states, this framework completely resolves the computational tracking debt and signal erasure bottlenecks associated with optical read-head phase-boundary conversions. The primary objective is to harden the defensive prior art perimeter established across the Technical Disclosure …
Synthetic-Only Global Gradient Boosting With Eager-Lazy Complementary Forecasting And Feedback-Informed Retraining For Contact-Center Workload, Iyer Venkataraman Vaidyanathan, Dinesh S. Kumar, Dhaanish Mohamed, Sudheendra B A, Rajiv Shankar Daulath, Supratik Biswas, Hemanth Kumar B M, Nikita Banerji
Synthetic-Only Global Gradient Boosting With Eager-Lazy Complementary Forecasting And Feedback-Informed Retraining For Contact-Center Workload, Iyer Venkataraman Vaidyanathan, Dinesh S. Kumar, Dhaanish Mohamed, Sudheendra B A, Rajiv Shankar Daulath, Supratik Biswas, Hemanth Kumar B M, Nikita Banerji
Defensive Publications Series
A forecasting architecture is described herein that uses a global Light Gradient Boosting Machine (LightGBM) trained exclusively on synthetic data parameterized by contact-center queue-behavior archetypes and operating alongside a lazy k-nearest neighbor (KNN) baseline. Both models independently predict each interval, with the lazy learner serving as a calibration anchor. A feedback loop compares the eager model output with the lazy baseline, extracts pattern characteristics of missed intervals and calibration gaps, and uses those characteristics to refine synthetic data generation and feature engineering for a later retraining cycle. Independent quality gates for call volume and average handle time (AHT) determine whether …
Ai-Driven Cross-Domain Optimization Function (Cdof) For Next-Generation Mobile Networks For Adaptive Signaling, Resource Management And Network Intelligence, Swapnil Barai, Sharad Chandra, Ravi Shekhar
Ai-Driven Cross-Domain Optimization Function (Cdof) For Next-Generation Mobile Networks For Adaptive Signaling, Resource Management And Network Intelligence, Swapnil Barai, Sharad Chandra, Ravi Shekhar
Defensive Publications Series
A system is proposed herein for artificial intelligence (AI)-driven, cross-domain optimization of next-generation mobile networks, including fifth-generation (5G) Advanced and sixth-generation (6G) networks. The system provides a Cross-Domain Optimization Function (CDOF) that continuously analyzes peer communication behavior, network function interactions, compute-resource utilization, traffic demand, mobility events, and radio conditions. Based on learned behavioral patterns across network functions, slices, cloud infrastructure, and radio domains, the CDOF dynamically adjusts per-peer signaling intervals across heterogeneous protocols, derives dynamic operational slice characteristics from observed compute and workload behavior, forecasts compute and traffic demand, and generates proactive optimization recommendations for the core network and radio …
Fpga-Resident Guardrail Fabric For Large Language Model Security, Privacy, And Safety Enforcement, Barry Qi Yuan
Fpga-Resident Guardrail Fabric For Large Language Model Security, Privacy, And Safety Enforcement, Barry Qi Yuan
Defensive Publications Series
A system is proposed herein for hardware-interlocked release of artificial intelligence (AI) prompts, retrieved context, model responses, tool requests, and tool results. Release-critical state remains under chip control, and each guarded object reaches RELEASED only through an atomic commit binding the object digest and sequence, the applicable guardrail action, a protected-state update, a package epoch, and cryptographically authenticated enforcement evidence; failure leaves the original destination disabled. The system combines deterministic controls, a placement-flexible semantic model operating within a signed quality envelope on approved measured, attested, or host-isolated compute, and authenticated escalation for unresolved or high-consequence cases while the hardware interlock …
Explainable Ai For Drug-Resistant Tuberculosis Detection From Chest X-Rays: Multi-Level Interpretability And Cross-Dataset Transfer Learning: Multi-Level Interpretability And Cross-Dataset Transfer Learning, Joan Mnyambo, Amir Aly, Emmanuel Ifeachor, Yinghui Wei
Explainable Ai For Drug-Resistant Tuberculosis Detection From Chest X-Rays: Multi-Level Interpretability And Cross-Dataset Transfer Learning: Multi-Level Interpretability And Cross-Dataset Transfer Learning, Joan Mnyambo, Amir Aly, Emmanuel Ifeachor, Yinghui Wei
School of Engineering, Computing and Mathematics
Drug-resistant tuberculosis (DR-TB) continues to pose a major global health challenge, with hundreds of thousands of new cases reported annually, resulting in a substantial mortality burden. Delayed or inaccurate diagnosis contributes to ongoing transmission, treatment failure, and increased deaths, highlighting the need for timely and dependable detection, particularly in low-resource healthcare settings. Although chest X-rays (CXRs) are widely available and commonly used for tuberculosis screening, reliable and interpretable approaches for distinguishing drug-resistant from drug-sensitive tuberculosis (DS-TB) remain limited. Despite recent advances in deep learning, explainable artificial intelligence (XAI) methods for DR-TB identification are still underexplored, thereby reducing clinical trust and …